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C. Fraisse, G. Puixeu Sala, and B. Vicoso, “Pleiotropy modulates the efficacy of selection in drosophila melanogaster,” Molecular biology and evolution, vol. 36, no. 3. Oxford University Press, pp. 500–515, 2019.
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D. J. Schröder, “From Dyson to Pearcey: Universal statistics in random matrix theory,” Institute of Science and Technology Austria, 2019.
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R. Sun and C. Lampert, “KS(conf): A light-weight test if a ConvNet operates outside of Its specifications,” presented at the GCPR: Conference on Pattern Recognition, Stuttgart, Germany, 2019, vol. 11269, pp. 244–259.
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M. Dostalík, V. Prusa, and T. Skrivan, “On diffusive variants of some classical viscoelastic rate-type models,” in AIP Conference Proceedings, Zlin, Czech Republic, 2019, vol. 2107.
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V. Jaksic and R. Seiringer, “Introduction to the Special Collection: International Congress on Mathematical Physics (ICMP) 2018,” Journal of Mathematical Physics, vol. 60, no. 12. AIP Publishing, 2019.
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D. Huber, H.-W. Hammer, and A. Volosniev, “In-medium bound states of two bosonic impurities in a one-dimensional Fermi gas,” Physical Review Research, vol. 1, no. 3. American Physical Society, 2019.
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S. Choi et al., “Emergent SU(2) dynamics and perfect quantum many-body scars,” Physical Review Letters, vol. 122, no. 22. American Physical Society, 2019.
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J. H. Mentink, M. Katsnelson, and M. Lemeshko, “Quantum many-body dynamics of the Einstein-de Haas effect,” Physical Review B, vol. 99, no. 6. American Physical Society, 2019.
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M. Carballo-Pacheco et al., “Receptor crosstalk improves concentration sensing of multiple ligands,” Physical Review E, vol. 99, no. 2. American Physical Society, 2019.
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C. Hubert et al., “Attractive dipolar coupling between stacked exciton fluids,” Physical Review X, vol. 9, no. 2. American Physical Society, 2019.
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T. Orell, A. Michailidis, M. Serbyn, and M. Silveri, “Probing the many-body localization phase transition with superconducting circuits,” Physical Review B, vol. 100, no. 13. American Physical Society, 2019.
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P. Brighi, M. Grilli, B. Leridon, and S. Caprara, “Effect of anomalous diffusion of fluctuating Cooper pairs on the density of states of superconducting NbN thin films,” Physical Review B, vol. 100, no. 17. American Physical Society, 2019.
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B. Suri, R. K. Pallantla, M. F. Schatz, and R. O. Grigoriev, “Heteroclinic and homoclinic connections in a Kolmogorov-like flow,” Physical Review E, vol. 100, no. 1. American Physical Society, 2019.
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M. Lewin, E. H. Lieb, and R. Seiringer, “Floating Wigner crystal with no boundary charge fluctuations,” Physical Review B, vol. 100, no. 3. American Physical Society, 2019.
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G. L. R. Anselmetti et al., “End-to-end correlated subgap states in hybrid nanowires,” Physical Review B, vol. 100, no. 20. American Physical Society, 2019.
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A. Goremykina, R. Vasseur, and M. Serbyn, “Analytically solvable renormalization group for the many-body localization transition,” Physical Review Letters, vol. 122, no. 4. American Physical Society, 2019.
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V. Karle, N. Defenu, and T. Enss, “Coupled superfluidity of binary Bose mixtures in two dimensions,” Physical Review A, vol. 99, no. 6. American Physical Society, 2019.
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C. P. Koch, M. Lemeshko, and D. Sugny, “Quantum control of molecular rotation,” Reviews of Modern Physics, vol. 91, no. 3. American Physical Society, 2019.
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M. Hledik, T. R. Sokolowski, and G. Tkadik, “A tight upper bound on mutual information,” in IEEE Information Theory Workshop, ITW 2019, Visby, Sweden, 2019.
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K. Censor-Hillel, M. Dory, J. Korhonen, and D. Leitersdorf, “Fast approximate shortest paths in the congested clique,” in Proceedings of the 2019 ACM Symposium on Principles of Distributed Computin, Toronto, ON, Canada, 2019, pp. 74–83.
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B. E. Casillas Perez, “Collective defenses of garden ants against a fungal pathogen,” Institute of Science and Technology Austria, 2019.
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M. Narasimhan, “Clathrin-Mediated endocytosis, post-endocytic trafficking and their regulatory controls in plants ,” Institute of Science and Technology Austria, 2019.
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O. Kim, C. Borges Merjane, and P. M. Jonas, “Functional analysis of the docked vesicle pool in hippocampal mossy fiber terminals by electron microscopy,” in Intrinsic Activity, Innsbruck, Austria, 2019, vol. 7, no. Suppl. 1.
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F. P. Assen, “Lymph node mechanics: Deciphering the interplay between stroma contractility, morphology and lymphocyte trafficking,” Institute of Science and Technology Austria, 2019.
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P. Marhavá, L. Hörmayer, S. Yoshida, P. Marhavý, E. Benková, and J. Friml, “Re-activation of stem cell pathways for pattern restoration in plant wound healing,” Cell, vol. 177, no. 4. Elsevier, p. 957–969.e13, 2019.
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L. Hörmayer and J. Friml, “Targeted cell ablation-based insights into wound healing and restorative patterning,” Current Opinion in Plant Biology, vol. 52. Elsevier, pp. 124–130, 2019.
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D. Kampjut and L. A. Sazanov, “Structure and mechanism of mitochondrial proton-translocating transhydrogenase,” Nature, vol. 573, no. 7773. Springer Nature, pp. 291–295, 2019.
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C. N. Boccara, M. Nardin, F. Stella, J. O’Neill, and J. L. Csicsvari, “The entorhinal cognitive map is attracted to goals,” Science, vol. 363, no. 6434. American Association for the Advancement of Science, pp. 1443–1447, 2019.
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C. Mckenzie, “Design and characterization of methods and biological components to realize synthetic neurotransmission,” Institute of Science and Technology Austria, 2019.
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J. P. Castro et al., “An integrative genomic analysis of the Longshanks selection experiment for longer limbs in mice,” eLife, vol. 8. eLife Sciences Publications, 2019.
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A. C. Hofmann et al., “Assessing the potential of Ge/SiGe quantum dots as hosts for singlet-triplet qubits,” arXiv. .
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K. Valosková et al., “A conserved major facilitator superfamily member orchestrates a subset of O-glycosylation to aid macrophage tissue invasion,” eLife, vol. 8. eLife Sciences Publications, 2019.
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K. Valosková, “The role of a highly conserved major facilitator superfamily member in Drosophila embryonic macrophage migration,” Institute of Science and Technology Austria, 2019.
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C. Espinoza Martinez, “Parvalbumin+ interneurons enable efficient pattern separation in hippocampal microcircuits,” Institute of Science and Technology Austria, 2019.
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M. Huang, H. Fu, K. Chatterjee, and A. K. Goharshady, “Modular verification for almost-sure termination of probabilistic programs,” in Proceedings of the 34th ACM International Conference on Object-Oriented Programming, Systems, Languages, and Applications , Athens, Greece, 2019, vol. 3.
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K. Chatterjee, A. K. Goharshady, N. Okati, and A. Pavlogiannis, “Efficient parameterized algorithms for data packing,” Proceedings of the ACM on Programming Languages, vol. 3, no. POPL. ACM, 2019.
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K. Chatterjee, A. K. Goharshady, and A. Pourdamghani, “Probabilistic smart contracts: Secure randomness on the blockchain,” in IEEE International Conference on Blockchain and Cryptocurrency, Seoul, Korea, 2019.
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K. Chatterjee, A. K. Goharshady, and A. Pourdamghani, “Hybrid Mining: Exploiting blockchain’s computational power for distributed problem solving,” in Proceedings of the 34th ACM Symposium on Applied Computing, Limassol, Cyprus, 2019, vol. Part 7772, pp. 374–381.
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P. Wang, H. Fu, A. K. Goharshady, K. Chatterjee, X. Qin, and W. Shi, “Cost analysis of nondeterministic probabilistic programs,” in PLDI 2019: Proceedings of the 40th ACM SIGPLAN Conference on Programming Language Design and Implementation, Phoenix, AZ, United States, 2019, pp. 204–220.
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K. Chatterjee, A. K. Goharshady, and E. K. Goharshady, “The treewidth of smart contracts,” in Proceedings of the 34th ACM Symposium on Applied Computing, Limassol, Cyprus, vol. Part 7772, pp. 400–408.
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K. Chatterjee, A. K. Goharshady, P. Goyal, R. Ibsen-Jensen, and A. Pavlogiannis, “Faster algorithms for dynamic algebraic queries in basic RSMs with constant treewidth,” ACM Transactions on Programming Languages and Systems, vol. 41, no. 4. ACM, 2019.
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K. Chatterjee, H. Fu, and A. K. Goharshady, “Non-polynomial worst-case analysis of recursive programs,” ACM Transactions on Programming Languages and Systems, vol. 41, no. 4. ACM, 2019.
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J. Kühnen, D. Scarselli, and B. Hof, “Relaminarization of pipe flow by means of 3D-printed shaped honeycombs,” Journal of Fluids Engineering, vol. 141, no. 11. ASME, 2019.
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D. Scarselli, J. Kühnen, and B. Hof, “Relaminarising pipe flow by wall movement,” Journal of Fluid Mechanics, vol. 867. Cambridge University Press, pp. 934–948, 2019.
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A. Oochi et al., “Pinstatic acid promotes auxin transport by inhibiting PIN internalization,” Plant Physiology, vol. 180, no. 2. ASPB, pp. 1152–1165, 2019.
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S. Shamipour, R. Kardos, S. Xue, B. Hof, E. B. Hannezo, and C.-P. J. Heisenberg, “Bulk actin dynamics drive phase segregation in zebrafish oocytes,” Cell, vol. 177, no. 6. Elsevier, p. 1463–1479.e18, 2019.
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C. Schwayer et al., “Mechanosensation of tight junctions depends on ZO-1 phase separation and flow,” Cell, vol. 179, no. 4. Cell Press, p. 937–952.e18, 2019.
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A. Kopf, “The implication of cytoskeletal dynamics on leukocyte migration,” Institute of Science and Technology Austria, 2019.
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J. Renkawitz et al., “Nuclear positioning facilitates amoeboid migration along the path of least resistance,” Nature, vol. 568. Springer Nature, pp. 546–550, 2019.
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A. Kopf and M. K. Sixt, “The neural crest pitches in to remove apoptotic debris,” Cell, vol. 179, no. 1. Elsevier, pp. 51–53, 2019.
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X. Contreras and S. Hippenmeyer, “Memo1 tiles the radial glial cell grid,” Neuron, vol. 103, no. 5. Elsevier, pp. 750–752, 2019.
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M. Adamowski, L. Li, and J. Friml, “Reorientation of cortical microtubule arrays in the hypocotyl of arabidopsis thaliana is induced by the cell growth process and independent of auxin signaling,” International Journal of Molecular Sciences, vol. 20, no. 13. MDPI, 2019.
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C. Hafner, C. Schumacher, E. Knoop, T. Auzinger, B. Bickel, and M. Bächer, “X-CAD: Optimizing CAD Models with Extended Finite Elements,” ACM Transactions on Graphics, vol. 38, no. 6. ACM, 2019.
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C. Igler, “On the nature of gene regulatory design - The biophysics of transcription factor binding shapes gene regulation,” Institute of Science and Technology Austria, 2019.
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N. Agrawal, G. H. Choueiri, and B. Hof, “Transition to turbulence in particle laden flows,” Physical Review Letters, vol. 122, no. 11. American Physical Society, 2019.
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D. K. Rangel Guerrero, “The role of CCK-interneurons in regulating hippocampal network dynamics,” Institute of Science and Technology Austria, 2019.
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K. Käfer et al., “Disrupted-in-schizophrenia 1 overexpression disrupts hippocampal coding and oscillatory synchronization,” Hippocampus, vol. 29, no. 9. Wiley, pp. 802–816, 2019.
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K. Käfer, “The hippocampus and medial prefrontal cortex during flexible behavior,” Institute of Science and Technology Austria, 2019.
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E. N. Allini, M. Skórski, O. Petura, F. Bernard, M. Laban, and V. Fischer, “Evaluation and monitoring of free running oscillators serving as source of randomness,” IACR Transactions on Cryptographic Hardware and Embedded Systems, vol. 2018, no. 3. International Association for Cryptologic Research, pp. 214–242, 2018.
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K. Chatterjee, W. Dvoák, M. H. Henzinger, and A. Svozil, “Quasipolynomial set-based symbolic algorithms for parity games,” in 22nd International Conference on Logic for Programming, Artificial Intelligence and Reasoning, Awassa, Ethiopia, 2018, vol. 57, pp. 233–253.
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N. K. Leopold and P. Pickl, “Mean-field limits of particles in interaction with quantised radiation fields,” presented at the MaLiQS: Macroscopic Limits of Quantum Systems, Munich, Germany, 2018, vol. 270, pp. 185–214.
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F. Flandoli, F. Russo, and G. A. Zanco, “Infinite-dimensional calculus under weak spatial regularity of the processes,” Journal of Theoretical Probability, vol. 31, no. 2. Springer, pp. 789–826, 2018.
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R. Fulek and J. Kyndl, “Hanani-Tutte for approximating maps of graphs,” presented at the SoCG: Symposium on Computational Geometry, Budapest, Hungary, 2018, vol. 99.
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H. Edelsbrunner, Z. Virk, and H. Wagner, “Smallest enclosing spheres and Chernoff points in Bregman geometry,” presented at the SoCG: Symposium on Computational Geometry, Budapest, Hungary, 2018, vol. 99, p. 35:1-35:13.
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A. De Martino and D. De Martino, “An introduction to the maximum entropy approach and its application to inference problems in biology,” Heliyon, vol. 4, no. 4. Elsevier, 2018.
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E. M. Clarke, T. A. Henzinger, H. Veith, and R. Bloem, Handbook of Model Checking, 1st ed. Cham: Springer Nature, 2018.
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M. P. Zagórski and A. Kicheva, “Measuring dorsoventral pattern and morphogen signaling profiles in the growing neural tube,” in Morphogen Gradients , vol. 1863, Springer Nature, 2018, pp. 47–63.
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P. Misun, A. Birchler, M. Lang, A. Hierlemann, and O. Frey, “Fabrication and operation of microfluidic hanging drop networks,” Methods in Molecular Biology, vol. 1771. Springer, pp. 183–202, 2018.
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S. Agrawal, K. Chatterjee, and P. Novotný, “Lexicographic ranking supermartingales: an efficient approach to termination of probabilistic programs,” presented at the POPL: Principles of Programming Languages, Los Angeles, CA, USA, 2018, vol. 2, no. POPL.
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H. Trinh, I. Verstraeten, and D. Geelen, “In vitro assay for induction of adventitious rooting on intact arabidopsis hypocotyls,” in Root Development , vol. 1761, Springer Nature, 2018, pp. 95–102.
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M. Karampelias, R. Tejos, J. Friml, and S. Vanneste, “Optimized whole mount in situ immunolocalization for Arabidopsis thaliana  root meristems and lateral root primordia,” in Root Development. Methods and Protocols, vol. 1761, D. Ristova and E. Barbez, Eds. Springer, 2018, pp. 131–143.
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G. Novarino, “Zika-associated microcephaly: Reduce the stress and race for the treatment,” Science Translational Medicine, vol. 10, no. 423. American Association for the Advancement of Science, 2018.
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B. Petritsch and J. Porsche, “IST PubRep and IST DataRep: the institutional repositories at IST Austria,” VÖB Mitteilungen, vol. 71, no. 1. Vereinigung Österreichischer Bibliothekarinnen und Bibliothekare, pp. 199–206, 2018.
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D.-A. Alistarh, J. Aspnes, V. King, and J. Saia, “Communication-efficient randomized consensus,” Distributed Computing, vol. 31, no. 6. Springer, pp. 489–501, 2018.
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A. Shekhovtsov, P. Swoboda, and B. Savchynskyy, “Maximum persistency via iterative relaxed inference with graphical models,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 40, no. 7. IEEE, pp. 1668–1682, 2018.
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D. Grubic, L. Tam, D.-A. Alistarh, and C. Zhang, “Synchronous multi-GPU training for deep learning with low-precision communications: An empirical study,” in Proceedings of the 21st International Conference on Extending Database Technology, Vienna, Austria, 2018, pp. 145–156.
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