L. Harker-Kirschneck, B. Baum, and A. Sari, “Changes in ESCRT-III filament geometry drive membrane remodelling and fission in silico,” BMC Biology, vol. 17, no. 1. Springer Nature, 2019.

A. E. Hafner, J. Krausser, and A. Sari, “Minimal coarse-grained models for molecular self-organisation in biology,” Current Opinion in Structural Biology, vol. 58. Elsevier, pp. 43–52, 2019.

H. Polshyn et al., “Large linear-in-temperature resistivity in twisted bilayer graphene,” Nature Physics, vol. 15, no. 10. Springer Nature, pp. 1011–1016, 2019.

H. Polshyn, T. Naibert, and R. Budakian, “Manipulating multivortex states in superconducting structures,” Nano Letters, vol. 19, no. 8. American Chemical Society, pp. 5476–5482, 2019.

M. Yankowitz et al., “Tuning superconductivity in twisted bilayer graphene,” Science, vol. 363, no. 6431. American Association for the Advancement of Science (AAAS), pp. 1059–1064, 2019.

H. Zhou, H. Polshyn, T. Taniguchi, K. Watanabe, and A. F. Young, “Solids of quantum Hall skyrmions in graphene,” Nature Physics, vol. 16, no. 2. Springer Nature, pp. 154–158, 2019.

M. Yankowitz et al., “New correlated phenomena in magic-angle twisted bilayer graphene/s,” Journal Club for Condensed Matter Physics, vol. 03. Simons Foundationf; University of California, Riverside, 2019.

M. Serlin et al., “Intrinsic quantized anomalous Hall effect in a moiré heterostructure,” Science, vol. 367, no. 6480. American Association for the Advancement of Science, pp. 900–903, 2019.

H. Polshyn et al., “Normal state transport in superconducting twisted bilayer graphene,” in APS March Meeting 2019, Boston, MA, United States, 2019, vol. 64, no. 2.

M. Serlin, C. Tschirhart, H. Polshyn, J. Zhu, M. E. Huber, and A. Young, “Direct Imaging of magnetic structure in twisted bilayer graphene with scanning nanoSQUID-On-Tip microscopy,” in APS March Meeting 2019, Boston, MA, United States, 2019, vol. 64, no. 2.

S. Chen et al., “Correlated insulating and superconducting phases in twisted bilayer graphene,” in APS March Meeting 2019, Boston, MA, United States, 2019, vol. 64, no. 2.

H. Zhou, H. Polshyn, T. Tanaguchi, K. Watanabe, and A. Young, “Spin wave transport through electron solids and fractional quantum Hall liquids in graphene,” in APS March Meeting 2019, Boston, MA, United States, 2019, vol. 64, no. 2.

G. Frehse et al., “ARCH-COM Category Report: Hybrid systems with piecewise constant dynamics,” in ARC. 6th International Workshop on Applied Verification of Continuous and Hybrid Systems, Montreal, Canada, 2019, vol. 61, pp. 1–13.

B. H. Toyama et al., “Visualization of long-lived proteins reveals age mosaicism within nuclei of postmitotic cells,” Journal of Cell Biology, vol. 218, no. 2. Rockefeller University Press, pp. 433–444, 2019.

R. Arrojo e Drigo et al., “Age mosaicism across multiple scales in adult tissues,” Cell Metabolism, vol. 30, no. 2. Elsevier, p. 343–351.e3, 2019.

A. Buchwalter, J. M. Kaneshiro, and M. Hetzer, “Coaching from the sidelines: The nuclear periphery in genome regulation,” Nature Reviews Genetics, vol. 20, no. 1. Springer Nature, pp. 39–50, 2019.

T. Nanayakkara et al., “Exploring HefII;b1640 emission line properties at z c24,” Astronomy &; Astrophysics, vol. 648. EDP Sciences, 2019.

G. de La Vieuville et al., “Faint end of the z c 3–7 luminosity function of Lyman-alpha emitters behind lensing clusters observed with MUSE,” Astronomy &; Astrophysics, vol. 628. EDP Sciences, 2019.

D. Sobral and J. J. Matthee, “Predicting Ly;1 escape fractions with a simple observable: Ly;1 in emission as an empirically calibrated star formation rate indicator,” Astronomy &; Astrophysics, vol. 623. EDP Sciences, 2019.

L. A. Boogaard et al., “The ALMA spectroscopic survey in the HUDF: Nature and physical properties of gas-mass selected galaxies using MUSE spectroscopy,” The Astrophysical Journal, vol. 882, no. 2. IOP Publishing, 2019.

R. A. Marino 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, vol. 880, no. 1. IOP Publishing, 2019.

J. J. Matthee et al., “Resolved UV and [C ii] structures of luminous galaxies within the epoch of reionization,” The Astrophysical Journal, vol. 881, no. 2. IOP Publishing, 2019.

E. Wang, S. J. Lilly, G. Pezzulli, and J. J. Matthee, “On the elevation and suppression of star formation within galaxies,” The Astrophysical Journal, vol. 877, no. 2. IOP Publishing, 2019.

A. A. Khostovan 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, vol. 489, no. 1. Oxford University Press, pp. 555–573, 2019.

D. Sobral 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, vol. 482, no. 2. Oxford University Press, pp. 2422–2441, 2019.

J. J. Matthee and J. Schaye, “The origin of scatter in the star formation rate–stellar mass relation,” Monthly Notices of the Royal Astronomical Society, vol. 484, no. 1. Oxford University Press, pp. 915–932, 2019.

D. Huber et al., “A hot Saturn orbiting an oscillating late subgiant discovered by TESS,” The Astronomical Journal, vol. 157, no. 6. IOP Publishing, 2019.

S. Mathur, R. A. García, L. A. Bugnet, Â. R. G. Santos, N. Santiago, and P. G. Beck, “Revisiting the impact of stellar magnetic activity on the detectability of solar-like oscillations by Kepler,” Frontiers in Astronomy and Space Sciences, vol. 6. Frontiers Media, 2019.

M. Hon et al., “A search for red giant solar-like oscillations in all Kepler data,” Monthly Notices of the Royal Astronomical Society, vol. 485, no. 4. Oxford University Press, pp. 5616–5630, 2019.

L. A. Bugnet et al., “FliPerClass: In search of solar-like pulsators among TESS targets,” Astronomy &; Astrophysics, vol. 624. EDP Science, 2019.

A. R. G. Santos et al., “Surface rotation and photometric activity for Kepler targets. I. M and K main-sequence stars,” The Astrophysical Journal Supplement Series, vol. 244, no. 1. IOP Publishing, 2019.

S. N. Breton et al., “Determining surface rotation periods of solar-like stars observed by the Kepler mission using machine learning techniques,” arXiv. .

A. L. Saux, L. A. Bugnet, S. Mathur, S. N. Breton, and R. A. Garcia, “Automatic classification of K2 pulsating stars using machine learning techniques,” arXiv. .

B. Ancona, M. H. Henzinger, L. Roditty, V. V. Williams, and N. Wein, “Algorithms and hardness for diameter in dynamic graphs,” in 46th International Colloquium on Automata, Languages, and Programming, Patras, Greece, 2019, vol. 132.

M. H. Henzinger, S. Neumann, and S. Schmid, “Efficient distributed workload (re-)embedding,” in SIGMETRICS’19: International Conference on Measurement and Modeling of Computer Systems, Phoenix, AZ, United States, 2019, pp. 43–44.

S. Biedermann, M. H. Henzinger, C. Schulz, and B. Schuster, “Vienna Graph Clustering,” in Protein-Protein Interaction Networks, vol. 2074, S. Canzar and F. Rojas Ringeling, Eds. Springer Nature, 2019, pp. 215–231.

S. Bhattacharya, M. H. Henzinger, and D. Nanongkai, “A new deterministic algorithm for dynamic set cover,” in 60th Annual Symposium on Foundations of Computer Science, Baltimore, MD, United States, 2019, pp. 406–423.

M. H. Henzinger, A. Noe, and C. Schulz, “Shared-memory exact minimum cuts,” in 33rd International Parallel and Distributed Processing Symposium, Rio de Janeiro, Brazil, 2019.

M. Daga, M. H. Henzinger, D. Nanongkai, and T. Saranurak, “Distributed edge connectivity in sublinear time,” in Proceedings of the 51st Annual ACM SIGACT Symposium on Theory of Computing, Phoenix, AZ, United States, 2019, pp. 343–354.

A. Bernstein, S. Forster, and M. H. Henzinger, “A deamortization approach for dynamic spanner and dynamic maximal matching,” in 30th Annual ACM-SIAM Symposium on Discrete Algorithms, San Diego, CA, United States, 2019, pp. 1899–1918.

S. Bhattacharya, M. H. Henzinger, and S. Neumann, “New amortized cell-probe lower bounds for dynamic problems,” Theoretical Computer Science, vol. 779. Elsevier, pp. 72–87, 2019.

B. Pieber et al., “Semiheterogeneous dual nickel/photocatalysis using carbon nitrides: Esterification of carboxylic acids with aryl halides,” Angewandte Chemie International Edition, vol. 58, no. 28. Wiley, pp. 9575–9580, 2019.

M. Guberman, B. Pieber, and P. H. Seeberger, “Safe and scalable continuous flow azidophenylselenylation of galactal to prepare galactosamine building blocks,” Organic Process Research and Development, vol. 23, no. 12. American Chemical Society, pp. 2764–2770, 2019.

C. Cavedon, A. Madani, P. H. Seeberger, and B. Pieber, “Semiheterogeneous dual nickel/photocatalytic (thio)etherification using carbon nitrides,” Organic Letters, vol. 21, no. 13. American Chemical Society, pp. 5331–5334, 2019.

T. D. Browning and E. Sofos, “Counting rational points on quartic del Pezzo surfaces with a rational conic,” Mathematische Annalen, vol. 373, no. 3–4. Springer Nature, pp. 977–1016, 2019.

N. Kalinin and M. Shkolnikov, “Tropical formulae for summation over a part of SL(2,Z),” European Journal of Mathematics, vol. 5, no. 3. Springer Nature, pp. 909–928, 2019.

Y. Asaoka, H. Morita, H. Furumoto, C.-P. J. Heisenberg, and M. Furutani-Seiki, “Studying YAP-mediated 3D morphogenesis using fish embryos and human spheroids,” in The hippo pathway, vol. 1893, A. Hergovich, Ed. Springer, 2019, pp. 167–181.

G. Demay, P. Gazi, U. Maurer, and B. Tackmann, “Per-session security: Password-based cryptography revisited,” Journal of Computer Security, vol. 27, no. 1. IOS Press, pp. 75–111, 2019.

R. Biswas, G. Largeteau-Skapin, R. Zrour, and E. Andres, “Rhombic dodecahedron grid—coordinate system and 3D digital object definitions,” in 21st IAPR International Conference on Discrete Geometry for Computer Imagery, Marne-la-Vallée, France, 2019, vol. 11414, pp. 27–37.

R. Dyer, G. Vegter, and M. Wintraecken, “Simplices modelled on spaces of constant curvature,” Journal of Computational Geometry , vol. 10, no. 1. Carleton University, pp. 223–256, 2019.

K. Z. Pietrzak, “Simple verifiable delay functions,” in 10th Innovations in Theoretical Computer Science Conference, San Diego, CA, United States, 2019, vol. 124.

A. Kundu, M. Garcia Soto, and P. Prabhakar, “Formal synthesis of stabilizing controllers for periodically controlled linear switched systems,” in 5th Indian Control Conference Proceedings, Delhi, India, 2019.

G. Vegter and M. Wintraecken, “The extrinsic nature of the Hausdorff distance of optimal triangulations of manifolds,” in The 31st Canadian Conference in Computational Geometry, Edmonton, Canada, 2019, pp. 275–279.

H. Edelsbrunner, Z. Virk, and H. Wagner, “Topological data analysis in information space,” in 35th International Symposium on Computational Geometry, Portland, OR, United States, 2019, vol. 129, p. 31:1-31:14.

N. Zenmyo 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, vol. 92, no. 5. Bulletin of the Chemical Society of Japan, pp. 995–1000, 2019.

M. Mondelli and A. Montanari, “Fundamental limits of weak recovery with applications to phase retrieval,” Foundations of Computational Mathematics, vol. 19, no. 3. Springer, pp. 703–773, 2019.

J.-D. Boissonnat, M. Rouxel-Labbé, and M. Wintraecken, “Anisotropic triangulations via discrete Riemannian Voronoi diagrams,” SIAM Journal on Computing, vol. 48, no. 3. Society for Industrial &; Applied Mathematics (SIAM), pp. 1046–1097, 2019.

V. Kolmogorov, “Testing the complexity of a valued CSP language,” in 46th International Colloquium on Automata, Languages and Programming, Patras, Greece, 2019, vol. 132, p. 77:1-77:12.

M. Walter, “Sampling the integers with low relative error,” in Progress in Cryptology – AFRICACRYPT 2019, vol. 11627, J. Buchmann, A. Nitaj, and T. Rachidi, Eds. Cham: Springer Nature, 2019, pp. 157–180.

M. Mondelli, H. Hassani, and R. Urbanke, “Construction of polar codes with sublinear complexity,” IEEE, vol. 65, no. 5. IEEE, pp. 2782–2791, 2019.

M. Mondelli and A. Montanari, “On the connection between learning two-layers neural networks and tensor  decomposition,” in Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, Naha, Okinawa, Japan, 2019, vol. 89, pp. 1051–1060.

S. A. Hashemi, C. Condo, M. Mondelli, and W. J. Gross, “Rate-flexible fast polar decoders,” IEEE Transactions on Signal Processing, vol. 67, no. 22. IEEE, 2019.

V. Jelínek and M. Töpfer, “On grounded L-graphs and their relatives,” Electronic Journal of Combinatorics, vol. 26, no. 3. Electronic Journal of Combinatorics, 2019.

G. Avni, T. A. Henzinger, R. Ibsen-Jensen, and P. Novotny, “Bidding games on Markov decision processes,” in  Proceedings of the 13th International Conference of Reachability Problems, Brussels, Belgium, 2019, vol. 11674, pp. 1–12.

K. Chatterjee, W. Dvorák, M. H. Henzinger, and A. Svozil, “Near-linear time algorithms for Streett objectives in graphs and MDPs,” in Leibniz International Proceedings in Informatics, Amsterdam, Netherlands, 2019, vol. 140.

M. Lechner, R. Hasani, M. Zimmer, T. A. Henzinger, and R. Grosu, “Designing worm-inspired neural networks for interpretable robotic control,” in Proceedings - IEEE International Conference on Robotics and Automation, Montreal, QC, Canada, 2019, vol. 2019–May.

M. Aghajohari, G. Avni, and T. A. Henzinger, “Determinacy in discrete-bidding infinite-duration games,” presented at the CONCUR: International Conference on Concurrency Theory, Amsterdam, Netherlands, 2019, vol. 140.

K. Chatterjee, T. A. Henzinger, and J. Otop, “Long-run average behavior of vector addition systems with states,” presented at the CONCUR: International Conference on Concurrency Theory, Amsterdam, Netherlands, 2019, vol. 140.

K. Chatterjee and N. Piterman, “Combinations of Qualitative Winning for Stochastic Parity Games,” presented at the CONCUR: International Conference on Concurrency Theory, Amsterdam, Netherlands, 2019, vol. 140.

T. Nowak and J. Rybicki, “Byzantine approximate agreement on graphs,” in 33rd International Symposium on Distributed Computing, Budapest, Hungary, 2019, vol. 146, p. 29:1--29:17.

R. Hasani, A. Amini, M. Lechner, F. Naser, R. Grosu, and D. Rus, “Response characterization for auditing cell dynamics in long short-term memory networks,” in Proceedings of the International Joint Conference on Neural Networks, Budapest, Hungary, 2019.

M. Mondelli, S. H. Hassani, and R. Urbanke, “A new coding paradigm for the primitive relay channel,” Algorithms, vol. 12, no. 10. MDPI, 2019.

G. P. Geher, T. Titkos, and D. Virosztek, “Dirac masses and isometric rigidity,” in Kyoto RIMS Kôkyûroku, Kyoto, Japan, 2019, vol. 2125, pp. 34–41.

K. R. Shirer et al., “Out-of-plane transport in ZrSiS and ZrSiSe microstructures,” APL Materials, vol. 7, no. 10. AIP, 2019.

K. A. Modic, T. Meng, F. Ronning, E. D. Bauer, P. J. W. Moll, and B. J. Ramshaw, “Thermodynamic signatures of Weyl fermions in NbP,” Scientific Reports, vol. 9, no. 1. Springer Nature, 2019.

E. Martino et al., “Persistent antiferromagnetic order in heavily overdoped Cx La x FeA,” Journal of Physics: Condensed Matter, vol. 31, no. 48. IOP Publishing, 2019.

M. D. Bachmann et al., “Spatial control of heavy-fermion superconductivity in CeIrIn5,” Science, vol. 366, no. 6462. AAAS, pp. 221–226, 2019.

C. Torrini et al., “Common regulatory pathways mediate activity of microRNAs inducing cardiomyocyte proliferation,” Cell Reports, vol. 27, no. 9. Elsevier, p. 2759–2771.e5, 2019.

R. J. Cubero, J. Jo, M. Marsili, Y. Roudi, and J. Song, “Statistical criticality arises in most informative representations,” Journal of Statistical Mechanics: Theory and Experiment, vol. 2019, no. 6. IOP Publishing, 2019.

K. Censor-Hillel, P. Kaski, J. Korhonen, C. Lenzen, A. Paz, and J. Suomela, “Algebraic methods in the congested clique,” Distributed Computing, vol. 32, no. 6. Springer Nature, pp. 461–478, 2019.

K. Kersting, C. Lampert, and C. Rothkopf, Eds., Wie Maschinen Lernen: Künstliche Intelligenz Verständlich Erklärt, 1st ed. Wiesbaden: Springer Nature, 2019.

E. Mourad et al., “Singlet oxygen from cation driven superoxide disproportionation and consequences for aprotic metal–O2 batteries,” Energy &; Environmental Science, vol. 12, no. 8. RSC, pp. 2559–2568, 2019.

W.-J. Kwak et al., “Deactivation of redox mediators in lithium-oxygen batteries by singlet oxygen,” Nature Communications, vol. 10. Springer Nature, 2019.

Y. K. Petit et al., “DABCOnium: An efficient and high-voltage stable singlet oxygen quencher for metal-O2 cells,” Angewandte Chemie International Edition, vol. 58, no. 20. Wiley, pp. 6535–6539, 2019.

W.-J. Kwak et al., “Mutual conservation of redox mediator and singlet oxygen quencher in Lithium–Oxygen batteries,” ACS Catalysis, vol. 9, no. 11. ACS, pp. 9914–9922, 2019.

S. A. Freunberger, “Interphase identity crisis,” Nature Chemistry, vol. 11, no. 9. Springer Nature, pp. 761–763, 2019.

Y. K. Petit and S. A. Freunberger, “Thousands of cycles,” Nature Materials, vol. 18, no. 4. Springer Nature, pp. 301–302, 2019.

C. Prehal and S. A. Freunberger, “Li-O2 cell-scale energy densities,” Joule, vol. 3, no. 2. Elsevier, pp. 321–323, 2019.

M. Watanabe et al., “TGF;2 superfamily signaling regulates the state of human stem cell pluripotency and competency to create telencephalic organoids,” bioRxiv. Cold Spring Harbor Laboratory, 2019.

R. Fulek and J. Kyncl, “Z_2-Genus of graphs and minimum rank of partial symmetric matrices,” in 35th International Symposium on Computational Geometry (SoCG 2019), Portland, OR, United States, 2019, vol. 129.

R. Alur, M. Giacobbe, T. A. Henzinger, K. G. Larsen, and M. Mikudionis, “Continuous-time models for system design and analysis,” in Computing and Software Science, vol. 10000, B. Steffen and G. Woeginger, Eds. Springer Nature, 2019, pp. 452–477.

S. S. Vadla, T. Costanzo, S. John, G. Caruntu, and S. C. Roy, “Local probing of magnetoelectric coupling in BaTiO3-Ni 1–3 composites,” Scripta Materialia, vol. 159. Elsevier, pp. 33–36, 2019.

M. S. Andersen et al., “Tracing the cellular dynamics of sebaceous gland development in normal and perturbed states,” Nature Cell Biology, vol. 21, no. 8. Springer Nature, pp. 924–932, 2019.

T. Sinnige, P. Ciryam, S. Casford, C. M. Dobson, M. de Bono, and M. Vendruscolo, “Expression of the amyloid-;2 peptide in a single pair of C. elegans sensory neurons modulates the associated behavioural response,” PLOS ONE, vol. 14, no. 5. Public Library of Science, 2019.

J. Cohn et al., “Activity-dependent regulation of the proapoptotic B-only gene egl-1 in a living neuron pair in Caenorhabditis elegans,” : Genes, Genomes, Genetics, vol. 9, no. 11. Genetics Society of America, pp. 3703–3714, 2019.

L. Portinale and U. Stefanelli, “Penalization via global functionals of optimal-control problems for dissipative evolution,” Advances in Mathematical Sciences and Applications, vol. 28, no. 2. Gakko Tosho, pp. 425–447, 2019.

W. Bialek, T. Gregor, and G. Tkadik, “Action at a distance in transcriptional regulation,” arXiv:1912.08579. ArXiv.

F. Immler et al., “ARCH-COM Category Report: Continuous and hybrid systems with nonlinear dynamics,” in EPiC Series in Computing, Montreal, Canada, 2019, vol. 61, pp. 41–61.

C. Prehal, A. Samojlov, M. Nachtnebel, M. Kriechbaum, H. Amenitsch, and S. A. Freunberger, “A revised O2 reduction model in Li-O2 batteries as revealed by in situ small angle X-ray scattering.” ChemRxiv.

O. Delaneau, J.-F. Zagury, M. R. Robinson, J. L. Marchini, and E. T. Dermitzakis, “Accurate, scalable and integrative haplotype estimation,” Nature Communications, vol. 10. Springer Nature, 2019.

R. P. J. Bevers et al., “Mitochondrial haplotypes affect metabolic phenotypes in the Drosophila Genetic Reference Panel,” Nature Metabolism, vol. 1, no. 12. Springer Nature, pp. 1226–1242, 2019.

J. Sulc et al., “Maximum likelihood method quantifies the overall contribution of gene-environment interaction to continuous traits: An application to complex traits in the UK Biobank,” bioRxiv. Cold Spring Harbor Laboratory, 2019.

C. B. Currin, P. N. Khoza, A. D. Antrobus, P. E. Latham, T. P. Vogels, and J. V. Raimondo, “Think: Theory for Africa,” PLOS Computational Biology, vol. 15, no. 7. Public Library of Science, 2019.

S. G. Manohar, N. Zokaei, S. J. Fallon, T. P. Vogels, and M. Husain, “Neural mechanisms of attending to items in working memory,” Neuroscience and Biobehavioral Reviews, vol. 101. Elsevier , pp. 1–12, 2019.

D. Betea, J. Bouttier, P. Nejjar, and M. Vuletíc, “New edge asymptotics of skew Young diagrams via free boundaries,” in Proceedings on the 31st International Conference on Formal Power Series and Algebraic Combinatorics, Ljubljana, Slovenia, 2019.

J. Singer et al., “AllergoOncology: High innate IgE levels are decisive for the survival of cancer-bearing mice,” World Allergy Organization Journal, vol. 12, no. 7. Elsevier, 2019.

A. S. Ondracek et al., “Immune effects of the nitrated food allergen beta-lactoglobulin in an experimental food allergy model,” Nutrients, vol. 11, no. 10. MDPI, 2019.

K. M. Ilieva et al., “AllergoOncology: Expression platform development and functional profiling of an antiHE IgE antibody,” Allergy, vol. 74, no. 10. Wiley, pp. 1985–1989, 2019.

P. V. Shelyakin, O. Bochkareva, A. A. Karan, and M. S. Gelfand, “Micro-evolution of three Streptococcus species: Selection, antigenic variation, and horizontal gene inflow,” BMC Evolutionary Biology, vol. 19. Springer Nature, 2019.

E. C. Alp, E. Kokoris Kogias, G. Fragkouli, and B. Ford, “Rethinking general-purpose decentralized computing,” in Proceedings of the Workshop on Hot Topics in Operating Systems, Bertinoro, Italy, 2019, pp. 105–112.

A. Zamyatin et al., “SoK: Communication across distributed ledgers,” Cryptology ePrint Archive. .

E. Kokoris Kogias, “Robust and scalable consensus for sharded distributed ledgers,” Cryptology ePrint Archive. .

E. Kokoris Kogias, “Secure, confidential blockchains providing high throughput and low latency,” École Polytechnique Fédérale de Lausanne, 2019.

G. Avarikioti, E. Kokoris Kogias, R. Wattenhofer, and D. Zindros, “Brick: Asynchronous payment channels,” arXiv. .

G. Avarikioti, E. Kokoris Kogias, and R. Wattenhofer, “Divide and scale: Formalization of distributed ledger sharding protocols,” arXiv. .

B. Ford, L. Gasser, E. Kokoris Kogias, and P. Janovic, “Methods and systems for secure data exchange.” 2019.

D. F. Gauto et al., “Integrated NMR and cryo-EM atomic-resolution structure determination of a half-megadalton enzyme complex,” Nature Communications, vol. 10. Springer Nature, 2019.

J. Felix et al., “Mechanism of the allosteric activation of the ClpP protease machinery by substrates and active-site inhibitors,” Science Advances, vol. 5, no. 9. American Association for the Advancement of Science, 2019.

P. Rovó, C. A. Smith, D. Gauto, B. L. de Groot, P. Schanda, and R. Linser, “Mechanistic insights into microsecond time-scale motion of solid proteins using complementary 15N and 1H relaxation dispersion techniques,” Journal of the American Chemical Society, vol. 141, no. 2. American Chemical Society, pp. 858–869, 2019.

M. D. Shannon et al., “Conformational dynamics in the core of human 5Stop prion protein amyloid probed by relaxation dispersion NMR,” ChemPhysChem, vol. 20, no. 2. Wiley, pp. 311–317, 2019.

D. Marion, D. F. Gauto, I. Ayala, K. Giandoreggio-Barranco, and P. Schanda, “Microsecond protein dynamics from combined Bloch-McConnell and Near-Rotary-Resonance p relaxation-dispersion MAS NMR,” ChemPhysChem, vol. 20, no. 2. Wiley, pp. 276–284, 2019.

P. Bálint, J. De Simoi, V. Kaloshin, and M. Leguil, “Marked length spectrum, homoclinic orbits and the geometry of open dispersing billiards,” Communications in Mathematical Physics, vol. 374, no. 3. Springer Nature, pp. 1531–1575, 2019.

C. Bougault, I. Ayala, W. Vollmer, J.-P. Simorre, and P. Schanda, “Studying intact bacterial peptidoglycan by proton-detected NMR spectroscopy at 100fkHz MAS frequency,” Journal of Structural Biology, vol. 206, no. 1. Elsevier, pp. 66–72, 2019.

P. Schanda, “Relaxing with liquids and solids – A perspective on biomolecular dynamics,” Journal of Magnetic Resonance, vol. 306. Elsevier, pp. 180–186, 2019.

P. Schanda and E. Y. Chekmenev, “NMR for Biological Systems,” ChemPhysChem, vol. 20, no. 2. Wiley, pp. 177–177, 2019.

M. Althoff et al., “ARCH-COM Category Report: Continuous and hybrid systems with linear continuous dynamics,” in EPiC Series in Computing, Montreal, Canada, 2019, vol. 61, pp. 14–40.

M. M. Bakail, S. RodriguezMarin, Z. Hegedüs, M. E. Perrin, F. Ochsenbein, and A. J. Wilson, “Recognition of AS by using hydrocarbonconstrained peptides,” ChemBioChem, vol. 20, no. 7. Wiley, pp. 891–895, 2019.

S. Ramananarivo, E. Ducrot, and J. A. Palacci, “Activity-controlled annealing of colloidal monolayers,” Nature Communications, vol. 10, no. 1. Springer Nature, 2019.

M. Y. Kim et al., “DNA demethylation by ROa in rice vegetative cells promotes methylation in sperm,” Proceedings of the National Academy of Sciences, vol. 116, no. 19. National Academy of Sciences, pp. 9652–9657, 2019.

B. Cheng, E. A. Engel, J. Behler, C. Dellago, and M. Ceriotti, “Ab initio thermodynamics of liquid and solid water,” Proceedings of the National Academy of Sciences, vol. 116, no. 4. National Academy of Sciences, pp. 1110–1115, 2019.

M. N. Antoniou, A. Nicolas, R. Mesnage, M. Biserni, F. V. Rao, and C. V. Martin, “Glyphosate does not substitute for glycine in proteins of actively dividing mammalian cells,” BMC Research Notes, vol. 12. BioMed Central, 2019.

M. N. Antoniou, A. Nicolas, R. Mesnage, M. Biserni, F. V. Rao, and C. V. Martin, “MOESM1 of Glyphosate does not substitute for glycine in proteins of actively dividing mammalian cells.” Springer Nature, 2019.

J. Polechova, “Data from: Is the sky the limit? On the expansion threshold of a species’ range.” Dryad, 2019.

D. F. Gauto et al., “Aromatic ring dynamics, thermal activation, and transient conformations of a 468 kDa enzyme by specific 1H–13C labeling and fast magic-angle spinning NMR,” Journal of the American Chemical Society, vol. 141, no. 28. American Chemical Society, pp. 11183–11195, 2019.

M. Guardia, V. Kaloshin, and J. Zhang, “Asymptotic density of collision orbits in the Restricted Circular Planar 3 Body Problem,” Archive for Rational Mechanics and Analysis, vol. 233, no. 2. Springer Nature, pp. 799–836, 2019.

G. Huang and V. Kaloshin, “On the finite dimensionality of integrable deformations of strictly convex integrable billiard tables,” Moscow Mathematical Journal, vol. 19, no. 2. American Mathematical Society, pp. 307–327, 2019.

L. Chierchia and E. Koudjinan, “V. I. Arnold’s ‘pointwise’ KAM theorem,” Regular and Chaotic Dynamics, vol. 24. Springer, pp. 583–606, 2019.

M. M. Bakail et al., “Design on a rational basis of high-affinity peptides inhibiting the histone chaperone AS,” Cell Chemical Biology, vol. 26, no. 11. Elsevier, p. 1573–1585.e10, 2019.

K. D. Harris, J. P. B. Lloyd, K. Domb, D. Zilberman, and A. Zemach, “DNA methylation is maintained with high fidelity in the honey bee germline and exhibits global non-functional fluctuations during somatic development,” Epigenetics and Chromatin, vol. 12. Springer Nature, 2019.

M. A. Kwan, B. Sudakov, and T. Tran, “Anticoncentration for subgraph statistics,” Journal of the London Mathematical Society, vol. 99, no. 3. Wiley, pp. 757–777, 2019.

D. Conlon, J. Fox, M. A. Kwan, and B. Sudakov, “Hypergraph cuts above the average,” Israel Journal of Mathematics, vol. 233, no. 1. Springer, pp. 67–111, 2019.

M. A. Kwan and B. Sudakov, “Proof of a conjecture on induced subgraphs of Ramsey graphs,” Transactions of the American Mathematical Society, vol. 372, no. 8. American Mathematical Society, pp. 5571–5594, 2019.

V. Kapil et al., -PI 2.0: A universal force engine for advanced molecular simulations,” Computer Physics Communications, vol. 236. Elsevier, pp. 214–223, 2019.

F. Giberti, B. Cheng, G. A. Tribello, and M. Ceriotti, “Iterative unbiasing of quasi-equilibrium sampling,” Journal of Chemical Theory and Computation, vol. 16, no. 1. American Chemical Society, pp. 100–107, 2019.

M. GironaMata, E. S. Miles, S. Ragettli, and F. Pellicciotti, “Highresolution snowline delineation from Landsat imagery to infer snow cover controls in a Himalayan catchment,” Water Resources Research, vol. 55, no. 8. American Geophysical Union, pp. 6754–6772, 2019.

R. R. Wijngaard et al., “Modeling the response of the Langtang Glacier and the Hintereisferner to a changing climate since the Little Ice Age,” Frontiers in Earth Science, vol. 7. Frontiers Media, 2019.

J. F. STEINER, P. BURI, E. S. MILES, S. RAGETTLI, and F. Pellicciotti, “Supraglacial ice cliffs and ponds on debris-covered glaciers: Spatio-temporal distribution and characteristics,” Journal of Glaciology, vol. 65, no. 252. Cambridge University Press, pp. 617–632, 2019.

S. He, M. Vickers, J. Zhang, and X. Feng, “Natural depletion of histone  in sex cells causes DNA demethylation, heterochromatin decondensation and transposon activation,” eLife, vol. 8. eLife Sciences Publications, Ltd, 2019.

E. J. Lawrence et al., “Natural variation in TBP-ASSOCIATED FACTOR 4b controls meiotic crossover and germline transcription in Arabidopsis,” Current Biology, vol. 29, no. 16. Elsevier BV, p. 2676–2686.e3, 2019.

E. Kokoris Kogias, A. Spiegelman, D. Malkhi, and I. Abraham, “Bootstrapping consensus without trusted setup: fully asynchronous distributed key generation,” Cryptology ePrint Archive. .

A. Schlögl, J. Kiss, and S. Elefante, “Is Debian suitable for running an HPC Cluster?,” in AHP - Austrian HPC Meeting 2019 , Grundlsee, Austria, 2019, p. 25.

A. Buchwalter, R. Schulte, H. Tsai, J. Capitanio, and M. Hetzer, “Selective clearance of the inner nuclear membrane protein emerin by vesicular transport during ER stress,” eLife, vol. 8. eLife Sciences Publications, 2019.

A. Buchwalter, R. Schulte, H. Tsai, J. Capitanio, and M. Hetzer, “Data from: Selective clearance of the inner nuclear membrane protein emerin by vesicular transport during ER stress.” Dryad, 2019.

O. Aichholzer et al., “Folding polyominoes with holes into a cube,” in Proceedings of the 31st Canadian Conference on Computational Geometry, Edmonton, Canada, 2019, pp. 164–170.

T. Bian, Z. Chu, and R. Klajn, “The many ways to assemble nanoparticles using light,” Advanced Materials, vol. 32, no. 20. Wiley, 2019.

Z. Chu, Y. Han, T. Bian, S. De, P. Král, and R. Klajn, “Supramolecular control of azobenzene switching on nanoparticles,” Journal of the American Chemical Society, vol. 141, no. 5. American Chemical Society, pp. 1949–1960, 2019.

M. Grzelczak, L. M. Liz-Marzán, and R. Klajn, “Stimuli-responsive self-assembly of nanoparticles,” Chemical Society Reviews, vol. 48, no. 5. Royal Society of Chemistry, pp. 1342–1361, 2019.

A. I. Hanopolskyi et al., “Reversible switching of arylazopyrazole within a metal–organic cage,” Beilstein Journal of Organic Chemistry, vol. 15. Beilstein Institut, pp. 2398–2407, 2019.

Z. Chu and R. Klajn, “Polysilsesquioxane nanowire networks as an ‘Artificial Solvent’ for reversible operation of photochromic molecules,” Nano Letters, vol. 19, no. 10. American Chemical Society, pp. 7106–7111, 2019.

M. J. Biaek and R. Klajn, “Diamond grows up,” Chem, vol. 5, no. 9. Elsevier, pp. 2283–2285, 2019.

G. Avni, T. A. Henzinger, and D. Zikelic, “Bidding mechanisms in graph games,” presented at the MFCS: nternational Symposium on Mathematical Foundations of Computer Science, Aachen, Germany, 2019, vol. 138.

M. Renzo et al., “Massive runaway and walkaway stars,” Astronomy &; Astrophysics, vol. 624. EDP Sciences, 2019.

T. Shenar et al., “The Wolf–Rayet binaries of the nitrogen sequence in the Large Magellanic Cloud,” Astronomy &; Astrophysics, vol. 627. EDP Sciences, 2019.

W. E. Kerzendorf et al., “No surviving non-compact stellar companion to Cassiopeia A,” Astronomy &; Astrophysics, vol. 623. EDP Sciences, 2019.

E. Zapartas et al., “The diverse lives of progenitors of hydrogen-rich core-collapse supernovae: The role of binary interaction,” Astronomy &; Astrophysics, vol. 631. EDP Sciences, 2019.

Y. L. L. Götberg, S. E. de Mink, J. H. Groh, C. Leitherer, and C. Norman, “The impact of stars stripped in binaries on the integrated spectra of stellar populations,” Astronomy &; Astrophysics, vol. 629. EDP Sciences, 2019.

M. C. Ucar and R. Lipowsky, “Supplementary information - Collective force generation by molecular motors is determined by strain-induced unbinding.” American Chemical Society , 2019.

D. R. Baykusheva et al., “Real-time probing of chirality during a chemical reaction,” Proceedings of the National Academy of Sciences, vol. 116, no. 48. Proceedings of the National Academy of Sciences, pp. 23923–23929, 2019.

S. Biswas et al., “Probing molecular influence on photoemission delays,” in 2019 Conference on Lasers and Electro-Optics Europe &; European Quantum Electronics Conference, Munich, Germany, 2019.

J.-D. Boissonnat, A. Lieutier, and M. Wintraecken, “The reach, metric distortion, geodesic convexity and the variation of tangent spaces,” Journal of Applied and Computational Topology, vol. 3, no. 1–2. Springer Nature, pp. 29–58, 2019.

M. Gerencser and I. Gyöngy, “A Feynman–Kac formula for stochastic Dirichlet problems,” Stochastic Processes and their Applications, vol. 129, no. 3. Elsevier, pp. 995–1012, 2019.

A. Deuchert, R. Seiringer, and J. Yngvason, “Bose–Einstein condensation in a dilute, trapped gas at positive temperature,” Communications in Mathematical Physics, vol. 368, no. 2. Springer, pp. 723–776, 2019.

R. Faria, K. Johannesson, R. K. Butlin, and A. M. Westram, “Evolving inversions,” Trends in Ecology and Evolution, vol. 34, no. 3. Elsevier, pp. 239–248, 2019.

T. Hausel, M. Mereb, and M. Wong, “Arithmetic and representation theory of wild character varieties,” Journal of the European Mathematical Society, vol. 21, no. 10. European Mathematical Society, pp. 2995–3052, 2019.

A. Marsh, G. Novarino, P. Lockhart, and R. Leventer, “CUGC for pontocerebellar hypoplasia type 9 and spastic paraplegia-63,” European Journal of Human Genetics, vol. 27. Springer Nature, pp. 161–166, 2019.

K. Dareiotis, M. Gerencser, and B. Gess, “Entropy solutions for stochastic porous media equations,” Journal of Differential Equations, vol. 266, no. 6. Elsevier, pp. 3732–3763, 2019.

R. Mócsai et al., “N-glycans of the microalga Chlorella vulgaris are of the oligomannosidic type but highly methylated,” Scientific Reports, vol. 9, no. 1. Nature Publishing Group, 2019.

E. Lee et al., “Ionic stress enhances ER–PM connectivity via phosphoinositide-associated SY contact site expansion in Arabidopsis,” Proceedings of the National Academy of Sciences of the United States of America, vol. 116, no. 4. National Academy of Sciences, pp. 1420–1429, 2019.

C. Andalo, M. Burrus, S. Paute, C. Lauzeral, and D. Field, “Prevalence of legitimate pollinators and nectar robbers and the consequences for fruit set in an Antirrhinum majus hybrid zone,” Botany Letters, vol. 166, no. 1. Taylor and Francis, pp. 80–92, 2019.

S. Chaplick, R. Fulek, and P. Klavík, “Extending partial representations of circle graphs,” Journal of Graph Theory, vol. 91, no. 4. Wiley, pp. 365–394, 2019.

D. Virosztek, “Jointly convex quantum Jensen divergences,” Linear Algebra and Its Applications, vol. 576. Elsevier, pp. 67–78, 2019.

T. D. Browning and D. Loughran, “Sieving rational points on varieties,” Transactions of the American Mathematical Society, vol. 371, no. 8. American Mathematical Society, pp. 5757–5785, 2019.

M. Gerencser and M. Hairer, “Singular SPDEs in domains with boundaries,” Probability Theory and Related Fields, vol. 173, no. 3–4. Springer, pp. 697–758, 2019.

O. H. Ajanki, L. Erdös, and T. H. Krüger, “Stability of the matrix Dyson equation and random matrices with correlations,” Probability Theory and Related Fields, vol. 173, no. 1–2. Springer, pp. 293–373, 2019.

B. Chatterjee, S. Peri, M. Sa, and N. Singhal, “A simple and practical concurrent non-blocking unbounded graph with linearizable reachability queries,” in ACM International Conference Proceeding Series, Bangalore, India, 2019, pp. 168–177.

R. Fulek and J. Pach, “Thrackles: An improved upper bound,” Discrete Applied Mathematics, vol. 259, no. 4. Elsevier, pp. 266–231, 2019.

B. Corominas-Murtra, “Thermodynamics of duplication thresholds in synthetic protocell systems,” Life, vol. 9, no. 1. MDPI, 2019.

M. Lindner et al., “A fast and simple contact printing approach to generate 2D protein nanopatterns,” Frontiers in Chemistry, vol. 6. Frontiers Media S.A., 2019.

M. Gerencser and M. Hairer, “A solution theory for quasilinear singular SPDEs,” Communications on Pure and Applied Mathematics, vol. 72, no. 9. Wiley, pp. 1983–2005, 2019.

H. Fu and K. Chatterjee, “Termination of nondeterministic probabilistic programs,” in International Conference on Verification, Model Checking, and Abstract Interpretation, Cascais, Portugal, 2019, vol. 11388, pp. 468–490.

M. D. Petkova, G. Tkadik, W. Bialek, E. F. Wieschaus, and T. Gregor, “Optimal decoding of cellular identities in a genetic network,” Cell, vol. 176, no. 4. Cell Press, p. 844–855.e15, 2019.

L. Klotz, K. Gumowski, and J. E. Wesfreid, “Experiments on a jet in a crossflow in the low-velocity-ratio regime,” Journal of Fluid Mechanics, vol. 863. Cambridge University Press, pp. 386–406, 2019.

M. Christakis, M. Heizmann, M. N. Mansur, C. Schilling, and V. Wüstholz, “Semantic fault localization and suspiciousness ranking,” in 25th International Conference on Tools and Algorithms for the Construction and Analysis of Systems , Prague, Czech Republic, 2019, vol. 11427, pp. 226–243.

S. Bogomolov, M. Forets, G. Frehse, K. Potomkin, and C. Schilling, “JuliaReach: A toolbox for set-based reachability,” in Proceedings of the 22nd International Conference on Hybrid Systems: Computation and Control, Montreal, QC, Canada, 2019, vol. 22, pp. 39–44.

S. M. Truckenbrodt, C. M. Sommer, S. O. Rizzoli, and J. G. Danzl, “A practical guide to optimization in  expansion microscopy,” Nature Protocols, vol. 14, no. 3. Nature Publishing Group, pp. 832–863, 2019.

D. Capek, M. Smutny, A. M. Tichy, M. Morri, H. L. Janovjak, and C.-P. J. Heisenberg, “Light-activated Frizzled7 reveals a permissive role of non-canonical wnt signaling in mesendoderm cell migration,” eLife, vol. 8. eLife Sciences Publications, 2019.

R. M. Merrill et al., “Genetic dissection of assortative mating behavior,” PLoS Biology, vol. 17, no. 2. Public Library of Science, 2019.

S. Yoshida et al., “A SOSEKI-based coordinate system interprets global polarity cues in arabidopsis,” Nature Plants, vol. 5, no. 2. Springer Nature, pp. 160–166, 2019.

M. Kalaee, M. Mirhosseini, P. B. Dieterle, M. Peruzzo, J. M. Fink, and O. Painter, “Quantum electromechanics of a hypersonic crystal,” Nature Nanotechnology, vol. 14, no. 4. Springer Nature, pp. 334–339, 2019.

A. Akopyan and R. Fedorov, “Two circles and only a straightedge,” Proceedings of the American Mathematical Society, vol. 147. AMS, pp. 91–102, 2019.

R. M. Merrill et al., “Raw behavioral data.” Public Library of Science, 2019.

R. Faria et al., “Multiple chromosomal rearrangements in a hybrid zone between Littorina saxatilis ecotypes,” Molecular Ecology, vol. 28, no. 6. Wiley, pp. 1375–1393, 2019.

D. De Martino, “Feedback-induced self-oscillations in large interacting systems subjected to phase transitions,” Journal of Physics A: Mathematical and Theoretical, vol. 52, no. 4. IOP Publishing, 2019.

N. T. Henderson, S. J. Le Marchand, M. Hruska, S. Hippenmeyer, L. Luo, and M. B. Dalva, “Ephrin- controls excitatory synapse density through cell-cell competition for EphBs,” eLife, vol. 8. eLife Sciences Publications, 2019.

K. Mitosch, G. Rieckh, and M. T. Bollenbach, “Temporal order and precision of complex stress responses in individual bacteria,” Molecular systems biology, vol. 15, no. 2. Embo Press, 2019.

M. Kutzer, J. Kurtz, and S. A. O. Armitage, “A multi-faceted approach testing the effects of previous bacterial exposure on resistance and tolerance,” Journal of Animal Ecology, vol. 88, no. 4. Wiley, pp. 566–578, 2019.

A. Traxl et al., “Inhibition of ABC and ABC at the mouse blood-brain barrier with marketed drugs to improve brain delivery of the model ABC/ABC substrate [11C]erlotinib,” Molecular Pharmaceutics, vol. 16, no. 3. American Chemical Society, pp. 1282–1293, 2019.

P. Xia, D. J. Gütl, V. Zheden, and C.-P. J. Heisenberg, “Lateral inhibition in cell specification mediated by mechanical signals modulating TAZ activity,” Cell, vol. 176, no. 6. Elsevier, p. 1379–1392.e14, 2019.

M. Kutzer, J. Kurtz, and S. A. O. Armitage, “Data from: A multi-faceted approach testing the effects of previous bacterial exposure on resistance and tolerance.” Dryad, 2019.

C. Sadel and D. Xu, “Singular analytic linear cocycles with negative infinite Lyapunov exponents,” Ergodic Theory and Dynamical Systems, vol. 39, no. 4. Cambridge University Press, pp. 1082–1098, 2019.

B. Le Feber, J. E. Sipe, M. Wulf, L. Kuipers, and N. Rotenberg, “A full vectorial mapping of nanophotonic light fields,” Light: Science and Applications, vol. 8, no. 1. Springer Nature, 2019.

M. Zwiewka et al., “Root adaptation to O2-induced oxidative stress by ARF-GEF BEN1- and cytoskeleton-mediated PIN2 trafficking,” Plant and Cell Physiology, vol. 60, no. 2. Oxford University Press, pp. 255–273, 2019.

P. Recho, A. Hallou, and E. B. Hannezo, “Theory of mechanochemical patterning in biphasic biological tissues,” Proceedings of the National Academy of Sciences of the United States of America, vol. 116, no. 12. National Academy of Sciences, pp. 5344–5349, 2019.

M. Roblek et al., “CCL2 is a vascular permeability factor inducing CC-dependent endothelial retraction during lung metastasis,” Molecular Cancer Research, vol. 17, no. 3. AACR, pp. 783–793, 2019.

N. H. Barton, J. Hermisson, and M. Nordborg, “Why structure matters,” eLife, vol. 8. eLife Sciences Publications, 2019.

M. Gerencser, “Boundary regularity of stochastic PDEs,” Annals of Probability, vol. 47, no. 2. Institute of Mathematical Statistics, pp. 804–834, 2019.

H. Rakusová, H. Han, P. Valosek, and J. Friml, “Genetic screen for factors mediating PIN polarization in gravistimulated Arabidopsis thaliana hypocotyls,” The Plant Journal, vol. 98, no. 6. Wiley, pp. 1048–1059, 2019.

H. S. Davies et al., “An integrated assay to probe endothelial glycocalyx-blood cell interactions under flow in mechanically and biochemically well-defined environments,” Matrix Biology, vol. 78–79. Elsevier, pp. 47–59, 2019.

T. D. Browning and L. Q. Hu, “Counting rational points on biquadratic hypersurfaces,” Advances in Mathematics, vol. 349. Elsevier, pp. 920–940, 2019.

Y. Wang, Z. Gong, J. Friml, and J. Zhang, “Nitrate modulates the differentiation of root distal stem cells,” Plant Physiology, vol. 180, no. 1. ASPB, pp. 22–25, 2019.

A. A. Temnov et al., “Protective properties of the cultured stem cell proteome studied in an animal model of acetaminophen-induced acute liver failure,” Molecular Biology Reports. Springer, 2019.

A. R. Rueda Sanchez, F. Sedlmeir, M. Kumari, G. Leuchs, and H. G. L. Schwefel, “Resonant electro-optic frequency comb,” Nature, vol. 568, no. 7752. Springer Nature, pp. 378–381, 2019.

F. Stella, P. Baracskay, J. O’Neill, and J. L. Csicsvari, “Hippocampal reactivation of random trajectories resembling Brownian diffusion,” Neuron, vol. 102. Elsevier, pp. 450–461, 2019.

N. B. Budanur and M. Fleury, “State space geometry of the chaotic pilot-wave hydrodynamics,” Chaos: An Interdisciplinary Journal of Nonlinear Science, vol. 29, no. 1. AIP Publishing, 2019.

F. K. Schur, “Toward high-resolution in situ structural biology with cryo-electron tomography and subtomogram averaging,” Current Opinion in Structural Biology, vol. 58, no. 10. Elsevier, pp. 1–9, 2019.

T. Ferrere, D. Nickovic, A. Donzé, H. Ito, and J. Kapinski, “Interface-aware signal temporal logic,” in Proceedings of the 2019 22nd ACM International Conference on Hybrid Systems: Computation and Control, Montreal, Canada, 2019, pp. 57–66.

C. Schreck, C. Hafner, and C. Wojtan, “Fundamental solutions for water wave animation,” ACM Transactions on Graphics, vol. 38, no. 4. ACM, 2019.

B. Song, C. Plana, J. M. Lopez Alonso, and M. Avila, “Phase-field simulation of core-annular pipe flow,” International Journal of Multiphase Flow, vol. 117. Elsevier, pp. 14–24, 2019.

V. Pokusaeva et al., “An experimental assay of the interactions of amino acids from orthologous sequences shaping a complex fitness landscape,” PLoS Genetics, vol. 15, no. 4. Public Library of Science, 2019.

H. F. Moussa et al., “Canonical PR controls sequence-independent propagation of Polycomb-mediated gene silencing,” Nature Communications, vol. 10, no. 1. Springer Nature, 2019.

S. Cremer, “Pathogens and disease defense of invasive ants,” Current Opinion in Insect Science, vol. 33. Elsevier, pp. 63–68, 2019.

V. Pokusaeva et al., “A statistical summary of segment libraries and sequencing results.” Public Library of Science, 2019.

V. Pokusaeva et al., “A statistical summary of segment libraries and sequencing results.” Public Library of Science, 2019.

V. Pokusaeva et al., “Multiple alignment of Hi orthologues.” Public Library of Science, 2019.

G. Avni, R. Bloem, K. Chatterjee, T. A. Henzinger, B. Konighofer, and S. Pranger, “Run-time optimization for learned controllers through quantitative games,” in 31st International Conference on Computer-Aided Verification, New York, NY, United States, 2019, vol. 11561, pp. 630–649.

D. A. Abanin, E. Altman, I. Bloch, and M. Serbyn, “Colloquium: Many-body localization, thermalization, and entanglement,” Reviews of Modern Physics, vol. 91, no. 2. American Physical Society, 2019.

D. Field and C. Fraisse, “Breaking down barriers in morning glories,” Molecular ecology, vol. 28, no. 7. Wiley, pp. 1579–1581, 2019.

H. Chassin, M. Müller, M. Tigges, L. Scheller, M. Lang, and M. Fussenegger, “A modular degron library for synthetic circuits in mammalian cells,” Nature Communications, vol. 10, no. 1. Springer Nature, 2019.

C. Fraisse and J. J. Welch, “The distribution of epistasis on simple fitness landscapes,” Biology Letters, vol. 15, no. 4. Royal Society of London, 2019.

T. Éltes, M. Szoboszlay, M. K. Szigeti, and Z. Nusser, “Improved spike inference accuracy by estimating the peak amplitude of unitary [C+] transients in weakly GCaMf-expressing hippocampal pyramidal cells,” Journal of Physiology, vol. 597, no. 11. Wiley, pp. 2925–2947, 2019.

M. Garcia Soto, T. A. Henzinger, C. Schilling, and L. Zeleznik, “Membership-based synthesis of linear hybrid automata,” in 31st International Conference on Computer-Aided Verification, New York City, NY, USA, 2019, vol. 11561, pp. 297–314.

N. Koval, D.-A. Alistarh, and R. Elizarov, Lock-free channels for programming via communicating sequential processes. ACM Press, 2019, pp. 417–418.

Y. Zhang et al., “Auxin-mediated statolith production for root gravitropism,” New Phytologist, vol. 224, no. 2. Wiley, pp. 761–774, 2019.

L. Noda-García et al., “Chance and pleiotropy dominate genetic diversity in complex bacterial environments,” Nature Microbiology, vol. 4, no. 7. Springer Nature, pp. 1221–1230, 2019.

M. E. Maes, G. Colombo, R. Schulz, and S. Siegert, “Targeting microglia with lentivirus and AAV: Recent advances and remaining challenges,” Neuroscience Letters, vol. 707. Elsevier, 2019.

J. Guiu et al., “Tracing the origin of adult intestinal stem cells,” Nature, vol. 570. Springer Nature, pp. 107–111, 2019.

A.-M. Tichy, E. J. Gerrard, J. M. D. Legrand, R. M. Hobbs, and H. L. Janovjak, “Engineering strategy and vector library for the rapid generation of modular light-controlled protein–protein interactions,” Journal of Molecular Biology, vol. 431, no. 17. Elsevier, pp. 3046–3055, 2019.

S. Cremer, “Social immunity in insects,” Current Biology, vol. 29, no. 11. Elsevier, pp. 8–3, 2019.

Z. Bao, L. Erdös, and K. Schnelli, “Local single ring theorem on optimal scale,” Annals of Probability, vol. 47, no. 3. Institute of Mathematical Statistics, pp. 1270–1334, 2019.

E. B. Hannezo and B. D. Simons, “Multiscale dynamics of branching morphogenesis,” Current Opinion in Cell Biology, vol. 60. Elsevier, pp. 99–105, 2019.

M. Ibáñez et al., “Tuning transport properties in thermoelectric nanocomposites through inorganic ligands and heterostructured building blocks,” ACS Nano, vol. 13, no. 6. American Chemical Society, pp. 6572–6580, 2019.

C. H. Nguyen et al., “SOC is part of a highly prognostic 4-gene signature in AML and promotes disease aggressiveness,” Scientific Reports, vol. 9, no. 1. Nature Publishing Group, 2019.

S. Barzanjeh et al., “Stationary entangled radiation from micromechanical motion,” Nature, vol. 570. Nature Publishing Group, pp. 480–483, 2019.

Y. Shehu, “Convergence results of forward-backward algorithms for sum of monotone operators in Banach spaces,” Results in Mathematics, vol. 74, no. 4. Springer, 2019.

E. B. Hannezo and C.-P. J. Heisenberg, “Mechanochemical feedback loops in development and disease,” Cell, vol. 178, no. 1. Elsevier, pp. 12–25, 2019.

J. L. Fischer, “The choice of representative volumes in the approximation of effective properties of random materials,” Archive for Rational Mechanics and Analysis, vol. 234, no. 2. Springer, pp. 635–726, 2019.

M. Glanc, M. Fendrych, and J. Friml, “PIN2 polarity establishment in arabidopsis in the absence of an intact cytoskeleton,” Biomolecules, vol. 9, no. 6. MDPI, 2019.

R. De La Bretèche, K. N. Destagnol, J. Liu, J. Wu, and Y. Zhao, “On a certain non-split cubic surface,” Science China Mathematics, vol. 62, no. 12. Springer, pp. 2435–2446, 2019.

B. Trubenova, M. Krejca, P. K. Lehre, and T. Kötzing, “Surfing on the seascape: Adaptation in a changing environment,” Evolution, vol. 73, no. 7. Wiley, pp. 1356–1374, 2019.

A. Akopyan, A. Hubard, and R. Karasev, “Lower and upper bounds for the waists of different spaces,” Topological Methods in Nonlinear Analysis, vol. 53, no. 2. Akademicka Platforma Czasopism, pp. 457–490, 2019.

A. Silva, A. M. Arroyo Guevara, B. Richter, and O. Lee, “Graphs with at most one crossing,” Discrete Mathematics, vol. 342, no. 11. Elsevier, pp. 3201–3207, 2019.

B. G. Godard and C.-P. J. Heisenberg, “Cell division and tissue mechanics,” Current Opinion in Cell Biology, vol. 60. Elsevier, pp. 114–120, 2019.

D. Sumin et al., “Geometry-aware scattering compensation for 3D printing,” ACM Transactions on Graphics, vol. 38, no. 4. ACM, 2019.

J. Raices, P. Otto, and M. Vibranovski, “Haploid selection drives new gene male germline expression,” Genome Research, vol. 29, no. 7. CSH Press, pp. 1115–1122, 2019.

T. Alderighi, L. Malomo, D. Giorgi, B. Bickel, P. Cignoni, and N. Pietroni, “Volume-aware design of composite molds,” ACM Transactions on Graphics, vol. 38, no. 4. ACM, 2019.

C. Igler and S. T. Abedon, “Commentary: A host-produced quorum-sensing autoinducer controls a phage lysis-lysogeny decision,” Frontiers in Microbiology, vol. 10. Frontiers, 2019.

H. Sachdeva, “Effect of partial selfing and polygenic selection on establishment in a new habitat,” Evolution, vol. 73, no. 9. Wiley, pp. 1729–1745, 2019.

G. Cossard, M. A. Toups, and J. Pannell, “Sexual dimorphism and rapid turnover in gene expression in pre-reproductive seedlings of a dioecious herb,” Annals of botany, vol. 123, no. 7. Oxford University Press, pp. 1119–1131, 2019.

J. P. Castro et al., “Data from: An integrative genomic analysis of the Longshanks selection experiment for longer limbs in mice.” Dryad, 2019.

H. Sachdeva, “Data from: Effect of partial selfing and polygenic selection on establishment in a new habitat.” Dryad, 2019.

P. Pranav et al., “Unexpected topology of the temperature fluctuations in the cosmic microwave background,” Astronomy and Astrophysics, vol. 627. EDP Sciences, 2019.

M. A. L. Picard et al., “Dosage compensation throughout the Schistosoma mansoni lifecycle: Specific chromatin landscape of the Z chromosome,” Genome biology and evolution, vol. 11, no. 7. Oxford Academic Press, pp. 1909–1922, 2019.

G. Avni, T. A. Henzinger, and V. K. Chonev, “Infinite-duration bidding games,” Journal of the ACM, vol. 66, no. 4. ACM, 2019.

H. S. Davies et al., “Blood cell-vessel wall interactions probed by reflection interference contrast microscopy,” in Advances in Microscopic Imaging II, Munich, Germany, 2019, vol. 11076.

H. K. Khattak, S. R. Waitukaitis, and A. D. Slepkov, “Microwave induced mechanical activation of hydrogel dimers,” Soft Matter, vol. 15, no. 29. Royal Society of Chemistry, pp. 5804–5809, 2019.

J. Ruess, M. Pleska, C. C. Guet, and G. Tkadik, “Molecular noise of innate immunity shapes bacteria-phage ecologies,” PLoS Computational Biology, vol. 15, no. 7. Public Library of Science, 2019.

Y. Zhang, G. Xiao, X. Wang, X. Zhang, and J. Friml, “Evolution of fast root gravitropism in seed plants,” Nature Communications, vol. 10. Springer Nature, 2019.

M. R. Yourick et al., “Diurnal variation in opsin expression and common housekeeping genes necessitates comprehensive normalization methods for quantitative real-time PCR analyses,” Molecular Ecology Resources, vol. 19, no. 6. Wiley, pp. 1447–1460, 2019.

N. K. Leopold and S. P. Petrat, “Mean-field dynamics for the Nelson model with fermions,” Annales Henri Poincare, vol. 20, no. 10. Springer Nature, pp. 3471–3508, 2019.

B. Trubenova and R. Hager, “Green beards in the light of indirect genetic effects,” Ecology and Evolution, vol. 9, no. 17. Wiley, pp. 9597–9608, 2019.

A. Akopyan and I. Izmestiev, “The Regge symmetry, confocal conics, and the Schläfli formula,” Bulletin of the London Mathematical Society, vol. 51, no. 5. London Mathematical Society, pp. 765–775, 2019.

J. Ruess, M. Pleska, C. C. Guet, and G. Tkadik, “Supporting text and results.” Public Library of Science, 2019.

G. Puixeu Sala, M. Pickup, D. Field, and S. C. H. Barrett, “Variation in sexual dimorphism in a wind-pollinated plant: The influence of geographical context and life-cycle dynamics,” New Phytologist, vol. 224, no. 3. Wiley, pp. 1108–1120, 2019.

F. R. Gärtner and S. Massberg, “Patrolling the vascular borders: Platelets in immunity to infection and cancer,” Nature Reviews Immunology, vol. 19, no. 12. Springer Nature, pp. 747–760, 2019.

D. Krndija et al., “Active cell migration is critical for steady-state epithelial turnover in the gut,” Science, vol. 365, no. 6454. American Association for the Advancement of Science, pp. 705–710, 2019.

C. Yumusak et al., “Indigoidine - Biosynthesized organic semiconductor,” Dyes and Pigments, vol. 171. Elsevier, 2019.

A. Brown, “Arakawa-Suzuki functors for Whittaker modules,” Journal of Algebra, vol. 538. Elsevier, pp. 261–289, 2019.

G. Puixeu Sala, M. Pickup, D. Field, and S. C. H. Barrett, “Data from: Variation in sexual dimorphism in a wind-pollinated plant: the influence of geographical context and life-cycle dynamics.” Dryad, 2019.

O. P. Hauser, C. Hilbe, K. Chatterjee, and M. A. Nowak, “Social dilemmas among unequals,” Nature, vol. 572, no. 7770. Springer Nature, pp. 524–527, 2019.

N. Picco et al., “A mathematical insight into cell labelling experiments for clonal analysis,” Journal of Anatomy, vol. 235, no. 3. Wiley, pp. 686–696, 2019.

G. Sella and N. H. Barton, “Thinking about the evolution of complex traits in the era of genome-wide association studies,” Annual Review of Genomics and Human Genetics, vol. 20. Annual Reviews, pp. 461–493, 2019.

K. Mysliwy and M. Napiórkowski, “Thermodynamics of inhomogeneous imperfect quantum gases in harmonic traps,” Journal of Statistical Mechanics: Theory and Experiment, vol. 2019, no. 6. IOP Publishing, 2019.

G. P. Gehér, T. Titkos, and D. Virosztek, “On isometric embeddings of Wasserstein spaces – the discrete case,” Journal of Mathematical Analysis and Applications, vol. 480, no. 2. Elsevier, 2019.

K. N. Destagnol and E. Sofos, “Rational points and prime values of polynomials in moderately many variables,” Bulletin des Sciences Mathematiques, vol. 156, no. 11. Elsevier, 2019.

S. Tavano and C.-P. J. Heisenberg, “Migrasomes take center stage,” Nature Cell Biology, vol. 21, no. 8. Springer Nature, pp. 918–920, 2019.

M. Fenu et al., “A novel magnet-based scratch method for standardisation of wound-healing assays,” Scientific Reports, vol. 9, no. 1. Springer Nature, 2019.

L. Zhou and L. A. Sazanov, “Structure and conformational plasticity of the intact Thermus thermophilus V/A-type ATPase,” Science, vol. 365, no. 6455. AAAS, 2019.

N. H. Barton, “Is speciation driven by cycles of mixing and isolation?,” National Science Review, vol. 6, no. 2. Oxford University Press, pp. 291–292, 2019.

N. Byczkowicz et al., “HCN channel-mediated neuromodulation can control action potential velocity and fidelity in central axons,” eLife, vol. 8. eLife Sciences Publications, 2019.

Q. Zhu, M. Gallemi, J. Pospísil, P. dádníková, M. Strnad, and E. Benková, “Root gravity response module guides differential growth determining both root bending and apical hook formation in Arabidopsis,” Development, vol. 146, no. 17. The Company of Biologists, 2019.

B. Oliveira, A. Ç. Yahya, and G. Novarino, “Modeling cell-cell interactions in the brain using cerebral organoids,” Brain Research, vol. 1724. Elsevier, 2019.

O. Sigalova et al., “Additional file 11 of Chlamydia pan-genomic analysis reveals balance between host adaptation and selective pressure to genome reduction.” Springer Nature, 2019.

O. M. Sigalova et al., “Additional file 10 of Chlamydia pan-genomic analysis reveals balance between host adaptation and selective pressure to genome reduction.” Springer Nature, 2019.

O. M. Sigalova et al., “Additional file 20 of Chlamydia pan-genomic analysis reveals balance between host adaptation and selective pressure to genome reduction.” Springer Nature, 2019.

O. M. Sigalova et al., “Additional file 15 of Chlamydia pan-genomic analysis reveals balance between host adaptation and selective pressure to genome reduction.” Springer Nature, 2019.

O. M. Sigalova et al., “Additional file 16 of Chlamydia pan-genomic analysis reveals balance between host adaptation and selective pressure to genome reduction.” Springer Nature, 2019.

O. M. Sigalova et al., “Additional file 17 of Chlamydia pan-genomic analysis reveals balance between host adaptation and selective pressure to genome reduction.” Springer Nature, 2019.

O. M. Sigalova et al., “Additional file 18 of Chlamydia pan-genomic analysis reveals balance between host adaptation and selective pressure to genome reduction.” Springer Nature, 2019.

O. M. Sigalova et al., “Additional file 19 of Chlamydia pan-genomic analysis reveals balance between host adaptation and selective pressure to genome reduction.” Springer Nature, 2019.

O. M. Sigalova et al., “Additional file 1 of Chlamydia pan-genomic analysis reveals balance between host adaptation and selective pressure to genome reduction.” Springer Nature, 2019.

D. Bornhorst et al., “Biomechanical signaling within the developing zebrafish heart attunes endocardial growth to myocardial chamber dimensions,” Nature communications, vol. 10, no. 1. Nature Publishing Group, p. 4113, 2019.

O. M. Sigalova et al., “Chlamydia pan-genomic analysis reveals balance between host adaptation and selective pressure to genome reduction,” BMC Genomics, vol. 20, no. 1. BioMed Central, 2019.

C. Artner and E. Benková, “Ethylene and cytokinin - partners in root growth regulation,” Molecular Plant, vol. 12, no. 10. Cell Press, pp. 1312–1314, 2019.

O. M. Sigalova et al., “Additional file 21 of Chlamydia pan-genomic analysis reveals balance between host adaptation and selective pressure to genome reduction.” Springer Nature, 2019.

O. M. Sigalova et al., “Additional file 9 of Chlamydia pan-genomic analysis reveals balance between host adaptation and selective pressure to genome reduction.” Springer Nature, 2019.

O. M. Sigalova et al., “Additional file 2 of Chlamydia pan-genomic analysis reveals balance between host adaptation and selective pressure to genome reduction.” Springer Nature, 2019.

O. M. Sigalova et al., “Additional file 5 of Chlamydia pan-genomic analysis reveals balance between host adaptation and selective pressure to genome reduction.” Springer Nature, 2019.

O. Ovaskainen, J. Rybicki, and N. Abrego, “What can observational data reveal about metacommunity processes?,” Ecography, vol. 42, no. 11. Wiley, pp. 1877–1886, 2019.

B. Giese et al., “Gene Drives: Dynamics and regulatory matters – A report from the workshop ‘Evaluation of spatial and temporal control of Gene Drives’, 4 – 5 April 2019, Vienna,” BioEssays, vol. 41, no. 11. Wiley, 2019.

M. Obr and F. K. Schur, “Structural analysis of pleomorphic and asymmetric viruses using cryo-electron tomography and subtomogram averaging,” in Complementary Strategies to Study Virus Structure and Function, vol. 105, F. A. Rey, Ed. Elsevier, 2019, pp. 117–159.

G. Bighin, N. Defenu, I. Nándori, L. Salasnich, and A. Trombettoni, “Berezinskii-Kosterlitz-Thouless paired phase in coupled XY models,” Physical Review Letters, vol. 123, no. 10. American Physical Society, 2019.

C. Qi, G. D. Minin, I. Vercellino, A. Wutz, and V. M. Korkhov, “Structural basis of sterol recognition by human hedgehog receptor PTC,” Science Advances, vol. 5, no. 9. American Association for the Advancement of Science, 2019.

R. K. Kelemen, H. Rajakaruna, I. Cockburn, and V. Ganusov, “Clustering of activated C T cells around Malaria-infected hepatocytes is rapid and is driven by antigen-specific cells,” Frontiers in Immunology, vol. 10. Frontiers, 2019.

C. Lenzen and J. Rybicki, “Self-stabilising Byzantine clock synchronisation is almost as easy as consensus,” Journal of the ACM, vol. 66, no. 5. ACM, 2019.

P. Ashok, T. Brázdil, K. Chatterjee, J. Ketínský, C. Lampert, and V. Toman, “Strategy representation by decision trees with linear classifiers,” in 16th International Conference on Quantitative Evaluation of Systems, Glasgow, United Kingdom, 2019, vol. 11785, pp. 109–128.

C. H. Schmickler, H.-W. Hammer, and A. Volosniev, “Universal physics of bound states of a few charged particles,” Physics Letters B, vol. 798. Elsevier, 2019.

G. T. Cheung and M. A. Cousin, “Synaptic vesicle generation from activitydependent bulk endosomes requires a dephosphorylationdependent dynamin–syndapin interaction,” Journal of Neurochemistry, vol. 151, no. 5. Wiley, pp. 570–583, 2019.

Y. Shehu, O. S. Iyiola, X.-H. Li, and Q.-L. Dong, “Convergence analysis of projection method for variational inequalities,” Computational and Applied Mathematics, vol. 38, no. 4. Springer Nature, 2019.

K. Yamada and M. K. Sixt, “Mechanisms of 3D cell migration,” Nature Reviews Molecular Cell Biology, vol. 20, no. 12. Springer Nature, pp. 738–752, 2019.

L. Nicolai, F. R. Gärtner, and S. Massberg, “Platelets in host defense: Experimental and clinical insights,” Trends in Immunology, vol. 40, no. 10. Cell Press, pp. 922–938, 2019.

I. Kondapaneni, P. Vevoda, P. Grittmann, T. Skrivan, P. Slusallek, and J. Kivánek, “Optimal multiple importance sampling,” ACM Transactions on Graphics, vol. 38, no. 4. ACM, 2019.

N. B. Budanur, A. Dogra, and B. Hof, “Geometry of transient chaos in streamwise-localized pipe flow turbulence,” Physical Review Fluids, vol. 4, no. 10. American Physical Society, p. 102401, 2019.

M. Lukacisin and M. T. Bollenbach, “Emergent gene expression responses to drug combinations predict higher-order drug interactions,” Cell Systems, vol. 9, no. 5. Cell Press, pp. 423-433.e1-e3, 2019.

R. Fulek and J. Kyndl, “Counterexample to an extension of the Hanani-Tutte theorem on the surface of genus 4,” Combinatorica, vol. 39, no. 6. Springer Nature, pp. 1267–1279, 2019.

A. R. Rueda Sanchez, F. Sedlmeir, G. Leuchs, M. Kuamri, and H. G. L. Schwefel, “Electro-optic frequency comb generation in lithium niobate whispering gallery mode resonators,” in 2019 Conference on Lasers and Electro-Optics Europe &; European Quantum Electronics Conference, Munich, Germany, 2019.

M. E. Maes, J. A. Grosser, R. L. Fehrman, C. L. Schlamp, and R. W. Nickells, “Completion of BAX recruitment correlates with mitochondrial fission during apoptosis,” Scientific Reports, vol. 9. Springer Nature, 2019.

M. Nagano, J. Y. Toshima, D. E. Siekhaus, and J. Toshima, “Rab5-mediated endosome formation is regulated at the trans-Golgi network,” Communications Biology, vol. 2, no. 1. Springer Nature, 2019.

Y. Kasugai et al., “Structural and functional remodeling of amygdala GABAergic synapses in associative fear learning,” Neuron, vol. 104, no. 4. Elsevier, p. 781–794.e4, 2019.

L. Telley et al., “Temporal patterning of apical progenitors and their daughter neurons in the developing neocortex,” Science, vol. 364, no. 6440. AAAS, 2019.

M. Ibáñez et al., “Ligand-mediated band engineering in bottom-up assembled SnTe nanocomposites for thermoelectric energy conversion,” Journal of the American Chemical Society, vol. 141, no. 20. American Chemical Society, pp. 8025–8029, 2019.

P. T. Dumitrescu, A. Goremykina, S. A. Parameswaran, M. Serbyn, and R. Vasseur, “Kosterlitz-Thouless scaling at many-body localization phase transitions,” Physical Review B, vol. 99, no. 9. American Physical Society, 2019.

J. Bellstaedt et al., “A mobile auxin signal connects temperature sensing in cotyledons with growth responses in hypocotyls,” Plant Physiology, vol. 180, no. 2. ASPB, pp. 757–766, 2019.

P. Li, “A colimit of traces of reflection groups,” Proceedings of the American Mathematical Society, vol. 147, no. 11. AMS, pp. 4597–4604, 2019.

G. Ortiz-Álvarez et al., “Adult neural stem cells and multiciliated ependymal cells share a common lineage regulated by the Geminin family members,” Neuron, vol. 102, no. 1. Elsevier, p. 159–172.e7, 2019.

A. Kopf and M. K. Sixt, “Gut homeostasis: Active migration of intestinal epithelial cells in tissue renewal,” Current Biology, vol. 29, no. 20. Cell Press, pp. 91–93, 2019.

N. Petridou and C.-P. J. Heisenberg, “Tissue rheology in embryonic organization,” The EMBO Journal, vol. 38, no. 20. EMBO, 2019.

Y. Xian, C. Lampert, B. Schiele, and Z. Akata, “Zero-shot learning - A comprehensive evaluation of the good, the bad and the ugly,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 41, no. 9. Institute of Electrical and Electronics Engineers (IEEE), pp. 2251–2265, 2019.

M. Cao et al., “TMK1-mediated auxin signalling regulates differential growth of the apical hook,” Nature, vol. 568. Springer Nature, pp. 240–243, 2019.

A. McDougall, J. Chenevert, B. G. Godard, and R. Dumollard, “Emergence of embryo shape during cleavage divisions,” in Evo-Devo: Non-model species in cell and developmental biology, vol. 68, W. Tworzydlo and S. M. Bilinski, Eds. Springer Nature, 2019, pp. 127–154.

G. Friesecke and M. Kniely, “New optimal control problems in density functional theory motivated by photovoltaics,” Multiscale Modeling and Simulation, vol. 17, no. 3. SIAM, pp. 926–947, 2019.

S. Ionica et al., “Modular invariants for genus 3 hyperelliptic curves,” Research in Number Theory, vol. 5. Springer Nature, 2019.

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.

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.

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.

T. Ferrere, O. Maler, D. Nidkovi, and A. Pnueli, “From real-time logic to timed automata,” Journal of the ACM, vol. 66, no. 3. ACM, 2019.

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.

C. C. Guet, T. A. Henzinger, C. Igler, T. Petrov, and A. Sezgin, “Transient memory in gene regulation,” in 17th International Conference on Computational Methods in Systems Biology, Trieste, Italy, 2019, vol. 11773, pp. 155–187.

M. Skórski, “Strong chain rules for min-entropy under few bits spoiled,” in 2019 IEEE International Symposium on Information Theory, Paris, France, 2019.

S. Khirirat, M. Johansson, and D.-A. Alistarh, “Gradient compression for communication-limited convex optimization,” in 2018 IEEE Conference on Decision and Control, Miami Beach, FL, United States, 2019.

B. Vicoso, “Molecular and evolutionary dynamics of animal sex-chromosome turnover,” Nature Ecology &; Evolution, vol. 3, no. 12. Springer Nature, pp. 1632–1641, 2019.

S. A. Sinclair and J. Friml, “Defying gravity: a plant’s quest for moisture,” Cell Research, vol. 29. Springer Nature, pp. 965–966, 2019.

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.

P. Guerrero et al., “Neuronal differentiation influences progenitor arrangement in the vertebrate neuroepithelium,” Development, vol. 146, no. 23. The Company of Biologists, 2019.

D. Nidkovi, X. Qin, T. Ferrere, C. Mateis, and J. Deshmukh, “Shape expressions for specifying and extracting signal features,” in 19th International Conference on Runtime Verification, Porto, Portugal, 2019, vol. 11757, pp. 292–309.

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.

A. Alcântara et al., “Systematic H screening reveals extensive effector-complex formation,” Frontiers in Plant Science, vol. 10, no. 11. Frontiers, 2019.

K. Retzer et al., “Brassinosteroid signaling delimits root gravitropism via sorting of the Arabidopsis PIN2 auxin transporter,” Nature Communications, vol. 10. Springer Nature, 2019.

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.

A. Llorca et al., “A stochastic framework of neurogenesis underlies the assembly of neocortical cytoarchitecture,” eLife, vol. 8. eLife Sciences Publications, 2019.

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.

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.

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.

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.

J. Merrin, “Frontiers in microfluidics, a teaching resource review,” Bioengineering, vol. 6, no. 4. MDPI, 2019.

N. Koval, D.-A. Alistarh, and R. Elizarov, “Scalable FIFO channels for programming via communicating sequential processes,” in 25th Anniversary of Euro-Par, Göttingen, Germany, 2019, vol. 11725, pp. 317–333.

G. F. Osang, J. Cook, A. Fabrikant, and M. Gruteser, “LiveTraVeL: Real-time matching of transit vehicle trajectories to transit routes at scale,” in 2019 IEEE Intelligent Transportation Systems Conference, Auckland, New Zealand, 2019.

H. Kong, E. Bartocci, Y. Jiang, and T. A. Henzinger, “Piecewise robust barrier tubes for nonlinear hybrid systems with uncertainty,” in 17th International Conference on Formal Modeling and Analysis of Timed Systems, Amsterdam, The Netherlands, 2019, vol. 11750, pp. 123–141.

N. P. Amin-Wetzel, L. Neidhardt, Y. Yan, M. P. Mayer, and D. Ron, “Unstructured regions in IR;1 specify BiP-mediated destabilisation of the luminal domain dimer and repression of the UPR,” eLife, vol. 8. eLife Sciences Publications, 2019.

T. R. Sokolowski et al., GFRD in all dimensions,” The Journal of Chemical Physics, vol. 150, no. 5. AIP Publishing, 2019.

A. M. Arroyo Guevara, M. Derka, and I. Parada, “Extending simple drawings,” in 27th International Symposium on Graph Drawing and Network Visualization, Prague, Czech Republic, 2019, vol. 11904, pp. 230–243.

T. Ferrere, O. Maler, and D. Nickovic, “Mixed-time signal temporal logic,” in 17th International Conference on Formal Modeling and Analysis of Timed Systems, Amsterdam, The Netherlands, 2019, vol. 11750, pp. 59–75.

P. Sahgal et al., “GG and RA promote activity-dependent ;21-integrin recycling,” Journal of Cell Science, vol. 132, no. 11. The Company of Biologists, 2019.

G. Akemann, T. Checinski, D. Liu, and E. Strahov, “Finite rank perturbations in products of coupled random matrices: From one correlated to two Wishart ensembles,” Annales de l’Institut Henri Poincaré, Probabilités et Statistiques, vol. 55, no. 1. Institute of Mathematical Statistics, pp. 441–479, 2019.

M. A. Toups, N. Rodrigues, N. Perrin, and M. Kirkpatrick, “A reciprocal translocation radically reshapes sexlinked inheritance in the common frog,” Molecular Ecology, vol. 28, no. 8. Wiley, pp. 1877–1889, 2019.

H. M. Abusalah, C. Kamath Hosdurg, K. Klein, K. Z. Pietrzak, and M. Walter, “Reversible proofs of sequential work,” in Advances in Cryptology – EUROCRYPT 2019, Darmstadt, Germany, 2019, vol. 11477, pp. 277–291.

C. Mckenzie et al., “Isolation of synaptic vesicles from genetically engineered cultured neurons,” Journal of Neuroscience Methods, vol. 312. Elsevier, pp. 114–121, 2019.

C. Yu et al., “Distributed learning over unreliable networks,” in 36th International Conference on Machine Learning, ICML 2019, Long Beach, CA, United States, 2019, vol. 2019–June, pp. 12481–12512.

D. Achlioptas, F. Iliopoulos, and V. Kolmogorov, “A local lemma for focused stochastical algorithms,” SIAM Journal on Computing, vol. 48, no. 5. SIAM, pp. 1583–1602, 2019.

O. Karlík, M. Sik, P. Vévoda, T. Skrivan, and J. Kivánek, “MIS compensation: Optimizing sampling techniques in multiple importance sampling,” ACM Transactions on Graphics, vol. 38, no. 6. ACM, 2019.

C. Boccato, C. Brennecke, S. Cenatiempo, and B. Schlein, “Bogoliubov theory in the Gross–Pitaevskii limit,” Acta Mathematica, vol. 222, no. 2. International Press of Boston, pp. 219–335, 2019.

H. E. Morales et al., “Genomic architecture of parallel ecological divergence: Beyond a single environmental contrast,” Science Advances, vol. 5, no. 12. AAAS, 2019.

J. M. Lopez Alonso, G. H. Choueiri, and B. Hof, “Dynamics of viscoelastic pipe flow at low Reynolds numbers in the maximum drag reduction limit,” Journal of Fluid Mechanics, vol. 874. CUP, pp. 699–719, 2019.

H. Edelsbrunner and A. Nikitenko, “Poisson–Delaunay Mosaics of Order k,” Discrete and Computational Geometry, vol. 62, no. 4. Springer, pp. 865–878, 2019.

H. Xu, P. Baracskay, J. O’Neill, and J. L. Csicsvari, “Assembly responses of hippocampal C place cells predict learned behavior in goal-directed spatial tasks on the radial eight-arm maze,” Neuron, vol. 101, no. 1. Elsevier, p. 119–132.e4, 2019.

T. Moser and R. Seiringer, “Energy contribution of a point-interacting impurity in a Fermi gas,” Annales Henri Poincare, vol. 20, no. 4. Springer, pp. 1325–1365, 2019.

C. S. Paranjape, “Onset of turbulence in plane Poiseuille flow,” Institute of Science and Technology Austria, 2019.

L. Erdös, T. H. Krüger, and D. J. Schröder, “Random matrices with slow correlation decay,” Forum of Mathematics, Sigma, vol. 7. Cambridge University Press, 2019.

G. Cipolloni, L. Erdös, T. H. Krüger, and D. J. Schröder, “Cusp universality for random matrices, II: The real symmetric case,” Pure and Applied Analysis , vol. 1, no. 4. MSP, pp. 615–707, 2019.

S. A. Cepeda Humerez, J. Ruess, and G. Tkadik, “Estimating information in time-varying signals,” PLoS computational biology, vol. 15, no. 9. Public Library of Science, p. e1007290, 2019.

W. Dejonghe et al., “Disruption of endocytosis through chemical inhibition of clathrin heavy chain function,” Nature Chemical Biology, vol. 15, no. 6. Springer Nature, pp. 641–649, 2019.

C. Schwayer, “Mechanosensation of tight junctions depends on ZO-1 phase separation and flow,” Institute of Science and Technology Austria, 2019.

S. Y. Zhechev, “Algorithmic aspects of homotopy theory and embeddability,” Institute of Science and Technology Austria, 2019.

S. Avvakumov and S. Kudrya, “Vanishing of all equivariant obstructions and the mapping degree,” arXiv. arXiv.

S. Avvakumov and R. Karasev, “Envy-free division using mapping degree,” arXiv. .

A. Deuchert, S. Mayer, and R. Seiringer, “The free energy of the two-dimensional dilute Bose gas. I. Lower bound,” arXiv:1910.03372. ArXiv.

H. Edelsbrunner and K. Ölsböck, “Holes and dependences in an ordered complex,” Computer Aided Geometric Design, vol. 73. Elsevier, pp. 1–15, 2019.

A. R. Choudhuri, P. Hubádek, C. Kamath Hosdurg, K. Z. Pietrzak, A. Rosen, and G. N. Rothblum, “Finding a Nash equilibrium is no easier than breaking Fiat-Shamir,” in Proceedings of the 51st Annual ACM SIGACT Symposium on Theory of Computing  - STOC 2019, Phoenix, AZ, United States, 2019, pp. 1103–1114.

A. Lubiw, Z. Masárová, and U. Wagner, “A proof of the orbit conjecture for flipping edge-labelled triangulations,” Discrete &; Computational Geometry, vol. 61, no. 4. Springer Nature, pp. 880–898, 2019.

X. Li, G. Bighin, E. Yakaboylu, and M. Lemeshko, “Variational approaches to quantum impurities: from the Fröhlich polaron to the angulon,” Molecular Physics. Taylor and Francis, 2019.

K. Huszár and J. Spreer, “-manifold triangulations with small treewidth,” in 35th International Symposium on Computational Geometry, Portland, Oregon, United States, 2019, vol. 129, p. 44:1-44:20.

K. Huszár, J. Spreer, and U. Wagner, “On the treewidth of triangulated 3-manifolds,” Journal of Computational Geometry, vol. 10, no. 2. Computational Geometry Laborartoy, pp. 70–98, 2019.

P. R. Dos Santos Caldas, M. D. Lopez Pelegrin, D. J. G. Pearce, N. B. Budanur, J. Brugués, and M. Loose, “Cooperative ordering of treadmilling filaments in cytoskeletal networks of FtsZ and its crosslinker ZapA,” Nature Communications, vol. 10. Springer Nature, 2019.

J. Tkadlec, A. Pavlogiannis, K. Chatterjee, and M. A. Nowak, “Population structure determines the tradeoff between fixation probability and fixation time,” Communications Biology, vol. 2. Springer Nature, 2019.

K. Chatterjee, A. Pavlogiannis, and V. Toman, “Value-centric dynamic partial order reduction,” in Proceedings of the 34th ACM International Conference on Object-Oriented Programming, Systems, Languages, and Applications, Athens, Greece, 2019, vol. 3.

D.-A. Alistarh, G. Nadiradze, and N. Koval, “Efficiency guarantees for parallel incremental algorithms under relaxed schedulers,” in 31st ACM Symposium on Parallelism in Algorithms and Architectures, Phoenix, AZ, United States, 2019, pp. 145–154.

F. A. Erdem et al., “A comparison of the transport kinetics of glycine transporter 1 and glycine transporter 2,” The Journal of General Physiology, vol. 151, no. 8. Rockefeller University Press, pp. 1035–1050, 2019.

J. A. Letts, K. Fiedorczuk, G. Degliesposti, M. Skehel, and L. A. Sazanov, “Structures of respiratory supercomplex I+II reveal functional and conformational crosstalk,” Molecular Cell, vol. 75, no. 6. Cell Press, p. 1131–1146.e6, 2019.

S. Dura-Bernal et al., “NetPyNE, a tool for data-driven multiscale modeling of brain circuits,” eLife, vol. 8. eLife Sciences Publications, 2019.

P. Veltsos et al., “Early sex-chromosome evolution in the diploid dioecious plant Mercurialis annua,” Genetics, vol. 212, no. 3. Genetics Society of America, pp. 815–835, 2019.

T. Stürner et al., “Transient localization of the Ar/3 complex initiates neuronal dendrite branching in vivo,” Development, vol. 146, no. 7. The Company of Biologists, 2019.

K. Chatterjee and L. Doyen, “Graph planning with expected finite horizon,” in 34th Annual ACM/IEEE Symposium on Logic in Computer Science, Vancouver, BC, Canada, 2019, pp. 1–13.

A. Vukics, A. Dombi, J. M. Fink, and P. Domokos, “Finite-size scaling of the photon-blockade breakdown dissipative quantum phase transition,” Quantum, vol. 3. Verein zur Förderung des Open Access Publizierens in den Quantenwissenschaften, 2019.

P. Swoboda and V. Kolmogorov, “Map inference via block-coordinate Frank-Wolfe algorithm,” in Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Long Beach, CA, United States, 2019, vol. 2019–June.

J. Morandell, A. Nicolas, L. A. Schwarz, and G. Novarino, “S.16.05 Illuminating the role of the e3 ubiquitin ligase cullin3 in brain development and autism,” European Neuropsychopharmacology, vol. 29, no. Supplement 6. Elsevier, pp. –, 2019.

L. Knaus, D.-C. Tarlungeanu, and G. Novarino, “S.16.03 A homozygous missense mutation in SL leads to autism spectrum disorder and microcephaly,” European Neuropsychopharmacology, vol. 29, no. Supplement 6. Elsevier, p. , 2019.

E. Benková and Y. Dagdas, “Editorial overview: Cell biology in the era of omics?,” Current Opinion in Plant Biology, vol. 52, no. 12. Elsevier, pp. –, 2019.

M. Phuong and C. Lampert, “Distillation-based training for multi-exit architectures,” in IEEE International Conference on Computer Vision, Seoul, Korea, 2019, vol. 2019–October, pp. 1355–1364.

C. Wendler, D.-A. Alistarh, and M. Püschel, “Powerset convolutional neural networks,” presented at the NIPS: Conference on Neural Information Processing Systems, Vancouver, Canada, 2019, vol. 32, pp. 927–938.

S. Cremer and M. Kutzer, “Social immunity,” in Encyclopedia of Animal Behavior, 2nd ed., J. Choe, Ed. Elsevier, 2019, pp. 747–755.

F. Laccone et al., “FlexMaps Pavilion: A twisted arc made of mesostructured flat flexible panels,” in IASS Symposium 2019 - 60th Anniversary Symposium of the International Association for Shell and Spatial Structures; Structural Membranes 2019 - 9th International Conference on Textile Composites and Inflatable Structures, FORM and FORCE, Barcelona, Spain, 2019, pp. 509–515.

A. Kolesnikov, A. Kuznetsova, C. Lampert, and V. Ferrari, “Detecting visual relationships using box attention,” in Proceedings of the 2019 International Conference on Computer Vision Workshop, Seoul, South Korea, 2019.

A. Rannen-Triki, M. Berman, V. Kolmogorov, and M. B. Blaschko, “Function norms for neural networks,” in Proceedings of the 2019 International Conference on Computer Vision Workshop, Seoul, South Korea, 2019.

N. H. Barton and A. Etheridge, “Mathematical models in population genetics,” in Handbook of statistical genomics, 4th ed., D. Balding, I. Moltke, and J. Marioni, Eds. Wiley, 2019, pp. 115–144.

S. Avvakumov, R. Karasev, and A. Skopenkov, “Stronger counterexamples to the topological Tverberg conjecture,” arXiv. arXiv.

G. Fuchsbauer, C. Kamath Hosdurg, K. Klein, and K. Z. Pietrzak, “Adaptively secure proxy re-encryption,” presented at the PKC: Public-Key Cryptograhy, Beijing, China, 2019, vol. 11443, pp. 317–346.

J. Mayzel, V. Steinberg, and A. Varshney, “Stokes flow analogous to viscous electron current in graphene,” Nature Communications, vol. 10. Springer Nature, 2019.

A. Varshney and V. Steinberg, “Elastic alfven waves in elastic turbulence,” Nature Communications, vol. 10. Springer Nature, 2019.

N. Amberg et al., “EGFR controls hair shaft differentiation in a -independent manner,” iScience, vol. 15. Elsevier, pp. 243–256, 2019.

A. M. Dietlein, M. Gebert, and P. Müller, “Perturbations of continuum random Schrödinger operators with applications to Anderson orthogonality and the spectral shift function,” Journal of Spectral Theory, vol. 9, no. 3. European Mathematical Society Publishing House, pp. 921–965, 2019.

F. Flandoli, E. Priola, and G. A. Zanco, “A mean-field model with discontinuous coefficients for neurons with spatial interaction,” Discrete and Continuous Dynamical Systems, vol. 39, no. 6. American Institute of Mathematical Sciences, pp. 3037–3067, 2019.

K.-T. Foerster, J. Korhonen, J. Rybicki, and S. Schmid, “Does preprocessing help under congestion?,” in Proceedings of the 2019 ACM Symposium on Principles of Distributed Computing, Toronto, ON, Canada, 2019, pp. 259–261.

N. Nikolic, “Autoregulation of bacterial gene expression: lessons from the MazEF toxin–antitoxin system,” Current Genetics, vol. 65, no. 1. Springer, pp. 133–138, 2019.

J. L. Fischer and O. Kneuss, “Bi-Sobolev solutions to the prescribed Jacobian inequality in the plane with L p data and applications to nonlinear elasticity,” Journal of Differential Equations, vol. 266, no. 1. Elsevier, pp. 257–311, 2019.

N. Amberg, S. Laukoter, and S. Hippenmeyer, “Epigenetic cues modulating the generation of cell type diversity in the cerebral cortex,” Journal of Neurochemistry, vol. 149, no. 1. Wiley, pp. 12–26, 2019.

N. Petridou, S. Grigolon, G. Salbreux, E. B. Hannezo, and C.-P. J. Heisenberg, “Fluidization-mediated tissue spreading by mitotic cell rounding and non-canonical Wnt signalling,” Nature Cell Biology, vol. 21. Nature Publishing Group, pp. 169–178, 2019.

M. Lang and M. Shkolnikov, “Harmonic dynamics of the Abelian sandpile,” Proceedings of the National Academy of Sciences, vol. 116, no. 8. National Academy of Sciences, pp. 2821–2830, 2019.

F. Locatello, M. Tschannen, S. Bauer, G. Rätsch, B. Schölkopf, and O. Bachem, “Disentangling factors of variation using few labels,” in 8th International Conference on Learning Representations, Virtual, 2019.

L. Gresele, P. K. Rubenstein, A. Mehrjou, F. Locatello, and B. Schölkopf, “The incomplete Rosetta Stone problem: Identifiability results for multi-view nonlinear ICA,” in Proceedings of the 35th Conference on Uncertainty in Artificial  Intelligence, Tel Aviv, Israel, 2019, vol. 115, pp. 217–227.

F. Locatello, G. Abbati, T. Rainforth, S. Bauer, B. Schölkopf, and O. Bachem, “On the fairness of disentangled representations,” in Advances in Neural Information Processing Systems, Vancouver, Canada, 2019, vol. 32, pp. 14611–14624.

F. Locatello, A. Yurtsever, O. Fercoq, and V. Cevher, “Stochastic Frank-Wolfe for composite convex minimization,” in Advances in Neural Information Processing Systems, Vancouver, Canada, 2019, vol. 32, pp. 14291–14301.

S. van Steenkiste, F. Locatello, J. Schmidhuber, and O. Bachem, “Are disentangled representations helpful for abstract visual reasoning?,” in Advances in Neural Information Processing Systems, Vancouver, Canada, 2019, vol. 32.

F. Locatello et al., “Challenging common assumptions in the unsupervised learning of disentangled representations,” in Proceedings of the 36th International Conference on Machine Learning, Long Beach, CA, United States, 2019, vol. 97, pp. 4114–4124.

B. Kavcic, A. Sakashita, H. Noguchi, and P. Ziherl, “Limiting shapes of confined lipid vesicles,” Soft Matter, vol. 15, no. 4. Royal Society of Chemistry, pp. 602–614, 2019.

M. Erbar, J. Maas, and M. Wirth, “On the geometry of geodesics in discrete optimal transport,” Calculus of Variations and Partial Differential Equations, vol. 58, no. 1. Springer, 2019.

M. W. Gondal et al., “On the transfer of inductive bias from simulation to the real world: a new disentanglement dataset,” in Advances in Neural Information Processing Systems, Vancouver, Canada, 2019, vol. 32.

H. Akitaya, R. Fulek, and C. Tóth, “Recognizing weak embeddings of graphs,” ACM Transactions on Algorithms, vol. 15, no. 4. ACM, 2019.

M. Giacobbe, “Automatic time-unbounded reachability analysis of hybrid systems,” Institute of Science and Technology Austria, 2019.

N. H. Barton, “Data from: The consequences of an introgression event.” Dryad, 2019.

G. Trébuchet et al., “The Repo homeodomain transcription factor suppresses hematopoiesis in Drosophila and preserves the glial fate,” Journal of Neuroscience, vol. 39, no. 2. Society for Neuroscience, pp. 238–255, 2019.

I. V. Ganev, “The wonderful compactification for quantum groups,” Journal of the London Mathematical Society, vol. 99, no. 3. Wiley, pp. 778–806, 2019.

M. K. Vasileva, “Molecular mechanisms of endomembrane trafficking in Arabidopsis thaliana,” Institute of Science and Technology Austria, 2019.

M. Goudarzi, A. Boquet-Pujadas, J. C. Olivo-Marin, and E. Raz, “Fluid dynamics during bleb formation in migrating cells in vivo,” PLOS ONE, vol. 14, no. 2. Public Library of Science, 2019.

S. A. Cepeda Humerez, “Estimating information flow in single cells,” Institute of Science and Technology Austria, 2019.

R. Prizak, “Coevolution of transcription factors and their binding sites in sequence space,” Institute of Science and Technology Austria, 2019.

T. K. Srivastava, “On derived equivalences of k3 surfaces in positive characteristic,” Documenta Mathematica, vol. 24. EMS Press, pp. 1135–1177, 2019.

P. Ferrari, P. Ghosal, and P. Nejjar, “Limit law of a second class particle in TASEP with non-random initial condition,” Annales de l’institut Henri Poincare (B) Probability and Statistics, vol. 55, no. 3. Institute of Mathematical Statistics, pp. 1203–1225, 2019.

P. Danowski, “An Austrian proposal for the classification of Open Access Tuples (COAT) - distinguish different open access types beyond colors,” Mitteilungen der Vereinigung Österreichischer Bibliothekarinnen und Bibliothekare, vol. 72, no. 1. Vereinigung Österreichischer Bibliothekarinnen und Bibliothekare, pp. 59–65, 2019.

M. Khatoniar, N. Yama, A. Ghazaryan, S. Guddala, P. Ghaemi, and V. Menon, “Room temperature control of valley coherence in bilayer W exciton polaritons,” in CLEO: Applications and Technology, San Jose, CA, United States, 2019.

A. R. Rueda Sanchez, F. Sedlmeir, G. Leuchs, M. Kumari, and H. G. L. Schwefel, “Resonant electro-optic frequency comb generation in lithium niobate disk resonator inside a microwave cavity,” in Nonlinear Optics, OSA Technical Digest, Waikoloa Beach, Hawaii (HI), United States, 2019.

J. Alt, L. Erdös, T. H. Krüger, and Y. Nemish, “Location of the spectrum of Kronecker random matrices,” Annales de l’institut Henri Poincare, vol. 55, no. 2. Institut Henri Poincaré, pp. 661–696, 2019.

D. Andergassen et al., “The Airn lncRNA does not require any DNA elements within its locus to silence distant imprinted genes,” PLoS Genetics, vol. 15, no. 7. Public Library of Science, 2019.

J. W. J. L. Wang, F. Lombardi, X. Zhang, C. Anaclet, and P. C. Ivanov, “Non-equilibrium critical dynamics of bursts in ;8 and ;4 rhythms as fundamental characteristic of sleep and wake micro-architecture,” PLoS Computational Biology, vol. 15, no. 11. Public Library of Science, 2019.

M. Phuong and C. Lampert, “Towards understanding knowledge distillation,” in Proceedings of the 36th International Conference on Machine Learning, Long Beach, CA, United States, 2019, vol. 97, pp. 5142–5151.

N. H. Konstantinov and C. Lampert, “Robust learning from untrusted sources,” in Proceedings of the 36th International Conference on Machine Learning, Long Beach, CA, USA, 2019, vol. 97, pp. 3488–3498.

D. Huang et al., “Salicylic acid-mediated plasmodesmal closure via Remorin-dependent lipid organization,” Proceedings of the National Academy of Sciences of the United States of America, vol. 116, no. 42. Proceedings of the National Academy of Sciences, pp. 21274–21284, 2019.

A. E. Wright et al., “On the power to detect rare recombination events,” Proceedings of the National Academy of Sciences of the United States of America, vol. 116, no. 26. Proceedings of the National Academy of Sciences, pp. 12607–12608, 2019.

M. Pickup et al., “Mating system variation in hybrid zones: Facilitation, barriers and asymmetries to gene flow,” New Phytologist, vol. 224, no. 3. Wiley, pp. 1035–1047, 2019.

E. FAS et al., “Custom-size, functional, and durable DNA origami with design-specific scaffolds,” ACS Nano, vol. 13, no. 5. ACS Publications, pp. 5015–5027, 2019.

R. Fulek, B. Gärtner, A. Kupavskii, P. Valtr, and U. Wagner, “The crossing Tverberg theorem,” in 35th International Symposium on Computational Geometry, Portland, OR, United States, 2019, vol. 129, p. 38:1-38:13.

D.-A. Alistarh, J. Aspnes, F. Ellen, R. Gelashvili, and L. Zhu, “Why extension-based proofs fail,” in Proceedings of the 51st Annual ACM SIGACT Symposium on Theory of Computing, Phoenix, AZ, United States, 2019, pp. 986–996.

A. Biniaz et al., “Token swapping on trees,” arXiv. .

A. K. Huylmans, M. A. Toups, A. Macon, W. J. Gammerdinger, and B. Vicoso, “Sex-biased gene expression and dosage compensation on the Artemia franciscana Z-chromosome,” Genome biology and evolution, vol. 11, no. 4. Oxford University Press, pp. 1033–1044, 2019.

I. Tomanek, “Data for the paper ‘Gene amplification as a form of population-level gene expression regulation.’” Institute of Science and Technology Austria, 2019.

R. Guseinov, “Supplementary data for ‘Programming temporal morphing of self-actuated shells.’” Institute of Science and Technology Austria, 2019.

B. Vicoso, “Supplementary data for ‘Sex-biased gene expression and dosage compensation on the Artemia franciscana Z-chromosome’ (Huylman, Toups et al., 2019). .” Institute of Science and Technology Austria, 2019.

C. Dotter and G. Novarino, “Supplementary data for the research paper ‘Haploinsufficiency of the intellectual disability gene SET disturbs developmental gene expression and cognition.’” Institute of Science and Technology Austria, 2019.

M. Nardin, “Supplementary Code and Data for the paper ‘The Entorhinal Cognitive Map is Attracted to Goals.’” Institute of Science and Technology Austria, 2019.

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.

D. J. Schröder, “From Dyson to Pearcey: Universal statistics in random matrix theory,” Institute of Science and Technology Austria, 2019.

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.

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.

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.

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.

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.

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.

M. Carballo-Pacheco et al., “Receptor crosstalk improves concentration sensing of multiple ligands,” Physical Review E, vol. 99, no. 2. American Physical Society, 2019.

C. Hubert et al., “Attractive dipolar coupling between stacked exciton fluids,” Physical Review X, vol. 9, no. 2. American Physical Society, 2019.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

J. L. Fribourgh et al., “Protein dynamics regulate distinct biochemical properties of cryptochromes in mammalian circadian rhythms,” bioRxiv. 2019.

H. B. Richer et al., “A massive magnetic helium atmosphere white dwarf binary in a young star cluster,” The Astrophysical Journal, vol. 880, no. 2. American Astronomical Society, 2019.

C. R. Mann et al., “A multimass velocity dispersion model of 47 Tucanae indicates no evidence for an intermediate-mass black hole,” The Astrophysical Journal, vol. 875, no. 1. American Astronomical Society, 2019.

M. Lukacisin, “Quantitative investigation of gene expression principles through combinatorial drug perturbation and theory,” IST Austria, 2019.

M. Narasimhan, “Clathrin-Mediated endocytosis, post-endocytic trafficking and their regulatory controls in plants ,” Institute of Science and Technology Austria, 2019.

B. E. Casillas Perez, “Collective defenses of garden ants against a fungal pathogen,” Institute of Science and Technology Austria, 2019.

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.

F. P. Assen, “Lymph node mechanics: Deciphering the interplay between stroma contractility, morphology and lymphocyte trafficking,” Institute of Science and Technology Austria, 2019.

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.

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.

S. Tabata et al., “Electron microscopic detection of single membrane proteins by a specific chemical labeling,” iScience, vol. 22, no. 12. Elsevier, pp. 256–268, 2019.

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.

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.

C. Mckenzie, “Design and characterization of methods and biological components to realize synthetic neurotransmission,” Institute of Science and Technology Austria, 2019.

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.

A. C. Hofmann et al., “Assessing the potential of Ge/SiGe quantum dots as hosts for singlet-triplet qubits,” arXiv. .

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.

K. Valosková, “The role of a highly conserved major facilitator superfamily member in Drosophila embryonic macrophage migration,” Institute of Science and Technology Austria, 2019.

C. Espinoza Martinez, “Parvalbumin+ interneurons enable efficient pattern separation in hippocampal microcircuits,” Institute of Science and Technology Austria, 2019.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

A. Oochi et al., “Pinstatic acid promotes auxin transport by inhibiting PIN internalization,” Plant Physiology, vol. 180, no. 2. ASPB, pp. 1152–1165, 2019.

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.

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.

A. Kopf, “The implication of cytoskeletal dynamics on leukocyte migration,” Institute of Science and Technology Austria, 2019.

J. Renkawitz et al., “Nuclear positioning facilitates amoeboid migration along the path of least resistance,” Nature, vol. 568. Springer Nature, pp. 546–550, 2019.

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.

X. Contreras and S. Hippenmeyer, “Memo1 tiles the radial glial cell grid,” Neuron, vol. 103, no. 5. Elsevier, pp. 750–752, 2019.

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.

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.

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.

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.

D. K. Rangel Guerrero, “The role of CCK-interneurons in regulating hippocampal network dynamics,” Institute of Science and Technology Austria, 2019.

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.

K. Käfer, “The hippocampus and medial prefrontal cortex during flexible behavior,” Institute of Science and Technology Austria, 2019.