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arXiv: 1807.03307

Lukacisin, Martin. Quantitative Investigation of Gene Expression Principles through Combinatorial Drug Perturbation and Theory. IST Austria, 2019, doi:10.15479/AT:ISTA:6392.
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Casillas Perez, Barbara E. Collective Defenses of Garden Ants against a Fungal Pathogen. Institute of Science and Technology Austria, 2019, doi:10.15479/AT:ISTA:6435.
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DOI: 10.15479/AT:ISTA:6435

Narasimhan, Madhumitha. Clathrin-Mediated Endocytosis, Post-Endocytic Trafficking and Their Regulatory Controls in Plants . Institute of Science and Technology Austria, 2019, doi:10.15479/at:ista:th1075.
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Kim, Olena, et al. “Functional Analysis of the Docked Vesicle Pool in Hippocampal Mossy Fiber Terminals by Electron Microscopy.”10.25006/ia.7.s1-a3.27__Intrinsic Activity, vol. 7, no. Suppl. 1, .27, Austrian Pharmacological Society, 2019, doi:10.25006/ia.7.s1-a3.27.
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Assen, Frank P. Lymph Node Mechanics: Deciphering the Interplay between Stroma Contractility, Morphology and Lymphocyte Trafficking. Institute of Science and Technology Austria, 2019, doi:10.15479/AT:ISTA:6947.
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Marhavá, Petra, et al. “Re-Activation of Stem Cell Pathways for Pattern Restoration in Plant Wound Healing.”10.1016/j.cell.2019.04.015__Cell, vol. 177, no. 4, Elsevier, 2019, p. 957–969.e13, doi:10.1016/j.cell.2019.04.015.
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Hörmayer, Lukas, and Jií Friml. “Targeted Cell Ablation-Based Insights into Wound Healing and Restorative Patterning.”10.1016/j.pbi.2019.08.006__Current Opinion in Plant Biology, vol. 52, Elsevier, 2019, pp. 124–30, doi:10.1016/j.pbi.2019.08.006.
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Tabata, Shigekazu, et al. “Electron Microscopic Detection of Single Membrane Proteins by a Specific Chemical Labeling.”10.1016/j.isci.2019.11.025__IScience, vol. 22, no. 12, Elsevier, 2019, pp. 256–68, doi:10.1016/j.isci.2019.11.025.
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Kampjut, Domen, and Leonid A. Sazanov. “Structure and Mechanism of Mitochondrial Proton-Translocating Transhydrogenase.”10.1038/s41586-019-1519-2__Nature, vol. 573, no. 7773, Springer Nature, 2019, pp. 291–295, doi:10.1038/s41586-019-1519-2.
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Boccara, Charlotte N., et al. “The Entorhinal Cognitive Map Is Attracted to Goals.”10.1126/science.aav4837__Science, vol. 363, no. 6434, American Association for the Advancement of Science, 2019, pp. 1443–47, doi:10.1126/science.aav4837.
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Mckenzie, Catherine. Design and Characterization of Methods and Biological Components to Realize Synthetic Neurotransmission. Institute of Science and Technology Austria, 2019, doi:10.15479/at:ista:7132.
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Castro, João Pl, et al. “An Integrative Genomic Analysis of the Longshanks Selection Experiment for Longer Limbs in Mice.”10.7554/eLife.42014__ELife, vol. 8, e42014, eLife Sciences Publications, 2019, doi:10.7554/eLife.42014.
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Hofmann, Andrea C., et al. “Assessing the Potential of Ge/SiGe Quantum Dots as Hosts for Singlet-Triplet Qubits.”10.48550/arXiv.1910.05841__ArXiv, 1910.05841, doi:10.48550/arXiv.1910.05841.
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Valosková, Katarina, et al. “A Conserved Major Facilitator Superfamily Member Orchestrates a Subset of O-Glycosylation to Aid Macrophage Tissue Invasion.”10.7554/elife.41801__ELife, vol. 8, e41801, eLife Sciences Publications, 2019, doi:10.7554/elife.41801.
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Valosková, Katarina. The Role of a Highly Conserved Major Facilitator Superfamily Member in Drosophila Embryonic Macrophage Migration. Institute of Science and Technology Austria, 2019, doi:10.15479/AT:ISTA:6546.
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Espinoza Martinez, Claudia. Parvalbumin+ Interneurons Enable Efficient Pattern Separation in Hippocampal Microcircuits. Institute of Science and Technology Austria, 2019, doi:10.15479/AT:ISTA:6363.
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Huang, Mingzhang, et al. “Modular Verification for Almost-Sure Termination of Probabilistic Programs.”10.1145/3360555__Proceedings of the 34th ACM International Conference on Object-Oriented Programming, Systems, Languages, and Applications , vol. 3, 129, ACM, 2019, doi:10.1145/3360555.
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arXiv: 1901.06087

Chatterjee, Krishnendu, et al. “Efficient Parameterized Algorithms for Data Packing.”10.1145/3290366__Proceedings of the ACM on Programming Languages, vol. 3, no. POPL, 53, ACM, 2019, doi:10.1145/3290366.
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Chatterjee, Krishnendu, et al. “Probabilistic Smart Contracts: Secure Randomness on the Blockchain.”10.1109/BLOC.2019.8751326__IEEE International Conference on Blockchain and Cryptocurrency, 8751326, IEEE, 2019, doi:10.1109/BLOC.2019.8751326.
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arXiv: 1902.07986

Chatterjee, Krishnendu, et al. “Hybrid Mining: Exploiting Blockchain’s Computational Power for Distributed Problem Solving.”10.1145/3297280.3297319__Proceedings of the 34th ACM Symposium on Applied Computing, vol. Part 7772, ACM, 2019, pp. 374–81, doi:10.1145/3297280.3297319.
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Wang, Peixin, et al. “Cost Analysis of Nondeterministic Probabilistic Programs.”10.1145/3314221.3314581__PLDI 2019: Proceedings of the 40th ACM SIGPLAN Conference on Programming Language Design and Implementation, Association for Computing Machinery, 2019, pp. 204–20, doi:10.1145/3314221.3314581.
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arXiv: 1902.04659

Chatterjee, Krishnendu, et al. “The Treewidth of Smart Contracts.”10.1145/3297280.3297322__Proceedings of the 34th ACM Symposium on Applied Computing, vol. Part 7772, ACM, pp. 400–08, doi:10.1145/3297280.3297322.
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Chatterjee, Krishnendu, et al. “Faster Algorithms for Dynamic Algebraic Queries in Basic RSMs with Constant Treewidth.”10.1145/3363525__ACM Transactions on Programming Languages and Systems, vol. 41, no. 4, 23, ACM, 2019, doi:10.1145/3363525.
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Chatterjee, Krishnendu, et al. “Non-Polynomial Worst-Case Analysis of Recursive Programs.”10.1145/3339984__ACM Transactions on Programming Languages and Systems, vol. 41, no. 4, 20, ACM, 2019, doi:10.1145/3339984.
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arXiv: 1705.00317

Kühnen, Jakob, et al. “Relaminarization of Pipe Flow by Means of 3D-Printed Shaped Honeycombs.”10.1115/1.4043494__Journal of Fluids Engineering, vol. 141, no. 11, 111105, ASME, 2019, doi:10.1115/1.4043494.
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arXiv: 1809.07625

Scarselli, Davide, et al. “Relaminarising Pipe Flow by Wall Movement.”10.1017/jfm.2019.191__Journal of Fluid Mechanics, vol. 867, Cambridge University Press, 2019, pp. 934–48, doi:10.1017/jfm.2019.191.
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arXiv: 1807.05357

Oochi, A., et al. “Pinstatic Acid Promotes Auxin Transport by Inhibiting PIN Internalization.”10.1104/pp.19.00201__Plant Physiology, vol. 180, no. 2, ASPB, 2019, pp. 1152–65, doi:10.1104/pp.19.00201.
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Shamipour, Shayan, et al. “Bulk Actin Dynamics Drive Phase Segregation in Zebrafish Oocytes.”10.1016/j.cell.2019.04.030__Cell, vol. 177, no. 6, Elsevier, 2019, p. 1463–1479.e18, doi:10.1016/j.cell.2019.04.030.
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Schwayer, Cornelia, et al. “Mechanosensation of Tight Junctions Depends on ZO-1 Phase Separation and Flow.”10.1016/j.cell.2019.10.006__Cell, vol. 179, no. 4, Cell Press, 2019, p. 937–952.e18, doi:10.1016/j.cell.2019.10.006.
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Kopf, Aglaja. The Implication of Cytoskeletal Dynamics on Leukocyte Migration. Institute of Science and Technology Austria, 2019, doi:10.15479/AT:ISTA:6891.
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Renkawitz, Jörg, et al. “Nuclear Positioning Facilitates Amoeboid Migration along the Path of Least Resistance.”10.1038/s41586-019-1087-5__Nature, vol. 568, Springer Nature, 2019, pp. 546–50, doi:10.1038/s41586-019-1087-5.
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Kopf, Aglaja, and Michael K. Sixt. “The Neural Crest Pitches in to Remove Apoptotic Debris.”10.1016/j.cell.2019.08.047__Cell, vol. 179, no. 1, Elsevier, 2019, pp. 51–53, doi:10.1016/j.cell.2019.08.047.
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Contreras, Ximena, and Simon Hippenmeyer. “Memo1 Tiles the Radial Glial Cell Grid.”10.1016/j.neuron.2019.08.021__Neuron, vol. 103, no. 5, Elsevier, 2019, pp. 750–52, doi:10.1016/j.neuron.2019.08.021.
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Adamowski, Maciek, et al. “Reorientation of Cortical Microtubule Arrays in the Hypocotyl of Arabidopsis Thaliana Is Induced by the Cell Growth Process and Independent of Auxin Signaling.”10.3390/ijms20133337__International Journal of Molecular Sciences, vol. 20, no. 13, 3337, MDPI, 2019, doi:10.3390/ijms20133337.
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Hafner, Christian, et al. “X-CAD: Optimizing CAD Models with Extended Finite Elements.”10.1145/3355089.3356576__ACM Transactions on Graphics, vol. 38, no. 6, 157, ACM, 2019, doi:10.1145/3355089.3356576.
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Igler, Claudia. On the Nature of Gene Regulatory Design - The Biophysics of Transcription Factor Binding Shapes Gene Regulation. Institute of Science and Technology Austria, 2019, doi:10.15479/AT:ISTA:6371.
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Agrawal, Nishchal, et al. “Transition to Turbulence in Particle Laden Flows.”10.1103/PhysRevLett.122.114502__Physical Review Letters, vol. 122, no. 11, 114502, American Physical Society, 2019, doi:10.1103/PhysRevLett.122.114502.
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arXiv: 1809.06358

Rangel Guerrero, Dámaris K. The Role of CCK-Interneurons in Regulating Hippocampal Network Dynamics. Institute of Science and Technology Austria, 2019, doi:10.15479/AT:ISTA:6849.
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Käfer, Karola, et al. “Disrupted-in-Schizophrenia 1 Overexpression Disrupts Hippocampal Coding and Oscillatory Synchronization.”10.1002/hipo.23076__Hippocampus, vol. 29, no. 9, Wiley, 2019, pp. 802–16, doi:10.1002/hipo.23076.
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Käfer, Karola. The Hippocampus and Medial Prefrontal Cortex during Flexible Behavior. Institute of Science and Technology Austria, 2019, doi:10.15479/AT:ISTA:6825.
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Allini, Elie Noumon, et al. “Evaluation and Monitoring of Free Running Oscillators Serving as Source of Randomness.”10.13154/tches.v2018.i3.214-242__IACR Transactions on Cryptographic Hardware and Embedded Systems, vol. 2018, no. 3, International Association for Cryptologic Research, 2018, pp. 214–42, doi:10.13154/tches.v2018.i3.214-242.
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Fisher, Patrick D. Ellis, et al. “A Programmable DNA Origami Platform for Organizing Intrinsically Disordered Nucleoporins within Nanopore Confinement.”10.1021/acsnano.7b08044__ACS Nano, vol. 12, no. 2, American Chemical Society, 2018, pp. 1508–18, doi:10.1021/acsnano.7b08044.
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Cohen, Samuel I. A., et al. “Distinct Thermodynamic Signatures of Oligomer Generation in the Aggregation of the Amyloid-;2 Peptide.”10.1038/s41557-018-0023-x__Nature Chemistry, vol. 10, no. 5, Springer Nature, 2018, pp. 523–31, doi:10.1038/s41557-018-0023-x.
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Dear, Alexander J., et al. “Statistical Mechanics of Globular Oligomer Formation by Protein Molecules.”10.1021/acs.jpcb.8b07805__The Journal of Physical Chemistry B, vol. 122, no. 49, American Chemical Society, 2018, pp. 11721–30, doi:10.1021/acs.jpcb.8b07805.
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Curk, Tine, et al. “Controlling Cargo Trafficking in Multicomponent Membranes.”10.1021/acs.nanolett.8b00786__Nano Letters, vol. 18, no. 9, American Chemical Society, 2018, pp. 5350–56, doi:10.1021/acs.nanolett.8b00786.
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Michaels, Thomas C. T., et al. “Reaction Rate Theory for Supramolecular Kinetics: Application to Protein Aggregation.”10.1080/00268976.2018.1474280__Molecular Physics, vol. 116, no. 21–22, Taylor &; Francis, 2018, pp. 3055–65, doi:10.1080/00268976.2018.1474280.
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arXiv: 1803.04851

Michaels, Thomas C. T., et al. “Chemical Kinetics for Bridging Molecular Mechanisms and Macroscopic Measurements of Amyloid Fibril Formation.”10.1146/annurev-physchem-050317-021322__Annual Review of Physical Chemistry, vol. 69, no. 1, Annual Reviews, 2018, pp. 273–98, doi:10.1146/annurev-physchem-050317-021322.
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Polshyn, Hryhoriy, et al. “Quantitative Transport Measurements of Fractional Quantum Hall Energy Gaps in Edgeless Graphene Devices.”10.1103/physrevlett.121.226801__Physical Review Letters, vol. 121, no. 22, 226801, American Physical Society, 2018, doi:10.1103/physrevlett.121.226801.
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arXiv: 1805.04199

Polshyn, Hryhoriy, et al. “Imaging Phase Slip Dynamics in Micron-Size Superconducting Rings.”10.1103/physrevb.97.184501__Physical Review B, vol. 97, no. 18, 184501, American Physical Society, 2018, doi:10.1103/physrevb.97.184501.
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arXiv: 1703.08184

Chatterjee, Krishnendu, et al. “Quasipolynomial Set-Based Symbolic Algorithms for Parity Games.”10.29007/5z5k__22nd International Conference on Logic for Programming, Artificial Intelligence and Reasoning, vol. 57, EasyChair, 2018, pp. 233–53, doi:10.29007/5z5k.
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arXiv: 1909.04983

Mohammadi, Fatemeh, et al. “Generalized Permutohedra from Probabilistic Graphical Models.”10.1137/16M107894X__SIAM Journal on Discrete Mathematics, vol. 32, no. 1, SIAM, 2018, pp. 64–93, doi:10.1137/16M107894X.
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Leopold, Nikolai K., and Peter Pickl. Mean-Field Limits of Particles in Interaction with Quantised Radiation Fields. Vol. 270, Springer, 2018, pp. 185–214, doi:10.1007/978-3-030-01602-9_9.
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arXiv: 1806.10843

McCloskey, Asako, et al. “Tpr Regulates the Total Number of Nuclear Pore Complexes per Cell Nucleus.”10.1101/gad.315523.118__Genes &; Development, vol. 32, no. 19–20, Cold Spring Harbor Laboratory, 2018, pp. 1321–31, doi:10.1101/gad.315523.118.
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Fleischer, Jason G., et al. “Predicting Age from the Transcriptome of Human Dermal Fibroblasts.”10.1186/s13059-018-1599-6__Genome Biology, vol. 19, 221, BioMed Central, 2018, doi:10.1186/s13059-018-1599-6.
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PMID: 30567591

Matthee, Jorryt J., et al. “Confirmation of Double Peaked Ly;1 Emission at z = 6.593: Witnessing a Galaxy Directly Contributing to the Reionisation of the Universe.”10.1051/0004-6361/201833528__Astronomy &; Astrophysics, vol. 619, 6, EDP Sciences, 2018, doi:10.1051/0004-6361/201833528.
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arXiv: 1805.11621

Khostovan, A. A., et al. “The Clustering of H ;2 + [OIII] and [OII] Emitters since z c 5: Dependencies with Line Luminosity and Stellar Mass.”10.1093/mnras/sty925__Monthly Notices of the Royal Astronomical Society, vol. 478, no. 3, Oxford University Press, 2018, pp. 2999–3015, doi:10.1093/mnras/sty925.
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arXiv: 1705.01101

Sobral, David, et al. “The Nature of Luminous Ly ;1 Emitters at z c 2–3: Maximal Dust-Poor Starbursts and Highly Ionizing AGN.”10.1093/mnras/sty782__Monthly Notices of the Royal Astronomical Society, vol. 477, no. 2, Oxford University Press, 2018, pp. 2817–40, doi:10.1093/mnras/sty782.
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arXiv: 1802.10102

Sobral, David, et al. “Slicing COSMOS with SK: The Evolution of Typical Ly;1 Emitters and the Ly;1 Escape Fraction from z c 2 to 6.”10.1093/mnras/sty378__Monthly Notices of the Royal Astronomical Society, vol. 476, no. 4, Oxford University Press, 2018, pp. 4725–52, doi:10.1093/mnras/sty378.
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arXiv: 1712.04451

Carniani, S., et al. “Kiloparsec-Scale Gaseous Clumps and Star Formation at z = 5–7.”10.1093/mnras/sty1088__Monthly Notices of the Royal Astronomical Society, vol. 478, no. 1, Oxford University Press, 2018, pp. 1170–84, doi:10.1093/mnras/sty1088.
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arXiv: 1712.03985

Matthee, Jorryt J., and Joop Schaye. “Star-Forming Galaxies Are Predicted to Lie on a Fundamental Plane of Mass, Star Formation Rate, and ;1-Enhancement.”10.1093/mnrasl/sly093__Monthly Notices of the Royal Astronomical Society: Letters, vol. 479, no. 1, Oxford University Press, 2018, pp. L34–39, doi:10.1093/mnrasl/sly093.
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arXiv: 1802.06786

Gandolfi, D., et al. “TESS’s First Planet: A Super-Earth Transiting the Naked-Eye Star <0 Mensae.”10.1051/0004-6361/201834289__Astronomy &; Astrophysics, vol. 619, L10, EDP Sciences, 2018, doi:10.1051/0004-6361/201834289.
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arXiv: 1809.07573

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Van Eylen, V., et al. “HD 89345: A Bright Oscillating Star Hosting a Transiting Warm Saturn-Sized Planet Observed by K2.”10.1093/mnras/sty1390__Monthly Notices of the Royal Astronomical Society, vol. 478, no. 4, Oxford University Press, 2018, pp. 4866–80, doi:10.1093/mnras/sty1390.
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Bugnet, Lisa Annabelle, et al. “FliPer: Classifying TESS Pulsating Stars.”10.48550/arXiv.1811.12140__ArXiv, 1811.12140, doi:10.48550/arXiv.1811.12140.
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Henzinger, Monika H., et al. “Practical Minimum Cut Algorithms.”10.1145/3274662__ACM Journal of Experimental Algorithmics, vol. 23, Association for Computing Machinery, 2018, pp. 1–22, doi:10.1145/3274662.
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Dütting, Paul, et al. “Valuation Compressions in VCG-Based Combinatorial Auctions.”10.1145/3232860__ACM Transactions on Economics and Computation, vol. 6, no. 2, 5, Association for Computing Machinery, 2018, doi:10.1145/3232860.
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Goranci, Gramoz, et al. “A Tree Structure for Dynamic Facility Location.”10.4230/LIPICS.ESA.2018.39__26th Annual European Symposium on Algorithms, vol. 112, 39, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2018, doi:10.4230/LIPICS.ESA.2018.39.
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Henzinger, Monika H., et al. “Decremental Single-Source Shortest Paths on Undirected Graphs in near-Linear Total Update Time.”10.1145/3218657__Journal of the ACM, vol. 65, no. 6, Association for Computing Machinery, 2018, pp. 1–40, doi:10.1145/3218657.
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Bhattacharya, Sayan, et al. “Dynamic Algorithms for Graph Coloring.”10.1137/1.9781611975031.1__29th Annual ACM-SIAM Symposium on Discrete Algorithms, Society for Industrial and Applied Mathematics, 2018, pp. 1–20, doi:10.1137/1.9781611975031.1.
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Henzinger, Monika H., et al. “Practical Minimum Cut Algorithms.”10.1137/1.9781611975055.5__20th Workshop on Algorithm Engineering and Experiments, Society for Industrial and Applied Mathematics, 2018, pp. 48–61, doi:10.1137/1.9781611975055.5.
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Bhattacharya, Sayan, et al. “Deterministic Fully Dynamic Data Structures for Vertex Cover and Matching.”10.1137/140998925__SIAM Journal on Computing, vol. 47, no. 3, Society for Industrial &; Applied Mathematics, 2018, pp. 859–87, doi:10.1137/140998925.
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Biedermann, Sonja, et al. “Memetic Graph Clustering.”10.4230/LIPICS.SEA.2018.3__17th International Symposium on Experimental Algorithms, vol. 103, 3, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2018, doi:10.4230/LIPICS.SEA.2018.3.
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Waitukaitis, Scott R., et al. “The Retention of Dust in Protoplanetary Disks: Evidence from Agglomeration Olivine Chondrules from the Outer Solar System.”10.1016/j.gca.2017.12.014__Geochimica et Cosmochimica Acta, vol. 223, Elsevier, 2018, pp. 405–21, doi:10.1016/j.gca.2017.12.014.
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Cerda, Mauricio, et al. “A High-Speed Tracking Algorithm for Dense Granular Media.”10.1016/j.cpc.2018.02.010__Computer Physics Communications, vol. 227, Elsevier, 2018, pp. 8–16, doi:10.1016/j.cpc.2018.02.010.
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Waitukaitis, Scott R., et al. “From Bouncing to Floating: The Leidenfrost Effect with Hydrogel Spheres.”10.1103/PhysRevLett.121.048001__Physical Review Letters, vol. 121, no. 4, 048001, American Physical Society, 2018, doi:10.1103/PhysRevLett.121.048001.
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Waitukaitis, Scott R. “Clicks for Doughnuts.”10.1038/s41567-018-0160-6__Nature Physics, vol. 14, no. 8, Nature Publishing Group, 2018, pp. 777–78, doi:10.1038/s41567-018-0160-6.
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Browning, Timothy D. How Often Does the Hasse Principle Hold? Vol. 97, no. 2, American Mathematical Society, 2018, pp. 89–102, doi:10.1090/pspum/097.2/01700.
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Browning, Timothy D., and Efthymios Sofos. “Averages of Arithmetic Functions over Principal Ideals.”10.1142/S1793042119500283__International Journal of Nuber Theory, vol. 15, no. 3, World Scientific Publishing, 2018, pp. 547–67, doi:10.1142/S1793042119500283.
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Browning, Timothy D., and Roger Heath-Brown. “Counting Rational Points on Quadric Surfaces.”10.19086/da.4375__Discrete Analysis, vol. 15, Alliance of Diamond Open Access Journals, 2018, pp. 1–29, doi:10.19086/da.4375.
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Fulek, Radoslav, and Jan Kyndl. Hanani-Tutte for Approximating Maps of Graphs. Vol. 99, 39, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2018, doi:10.4230/LIPIcs.SoCG.2018.39.
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Edelsbrunner, Herbert, et al. Smallest Enclosing Spheres and Chernoff Points in Bregman Geometry. Vol. 99, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2018, p. 35:1-35:13, doi:10.4230/LIPIcs.SoCG.2018.35.
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Raskutti, Garvesh, and Caroline Uhler. “Learning Directed Acyclic Graphs Based on Sparsest Permutations.”10.1002/sta4.183__STAT, vol. 7, no. 1, e183, Wiley, 2018, doi:10.1002/sta4.183.
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De Martino, Andrea, and Daniele De Martino. “An Introduction to the Maximum Entropy Approach and Its Application to Inference Problems in Biology.”10.1016/j.heliyon.2018.e00596__Heliyon, vol. 4, no. 4, e00596, Elsevier, 2018, doi:10.1016/j.heliyon.2018.e00596.
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Clarke, Edmund M., et al. Handbook of Model Checking. 1st ed., Springer Nature, 2018, doi:10.1007/978-3-319-10575-8.
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Zagórski, Marcin P., and Anna Kicheva. “Measuring Dorsoventral Pattern and Morphogen Signaling Profiles in the Growing Neural Tube.”10.1007/978-1-4939-8772-6_4__Morphogen Gradients , vol. 1863, Springer Nature, 2018, pp. 47–63, doi:10.1007/978-1-4939-8772-6_4.
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Misun, Patrick, et al. “Fabrication and Operation of Microfluidic Hanging Drop Networks.”10.1007/978-1-4939-7792-5_15__Methods in Molecular Biology, vol. 1771, Springer, 2018, pp. 183–202, doi:10.1007/978-1-4939-7792-5_15.
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Agrawal, Sheshansh, et al. Lexicographic Ranking Supermartingales: An Efficient Approach to Termination of Probabilistic Programs. Vol. 2, no. POPL, 34, ACM, 2018, doi:10.1145/3158122.
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Mahmood, Fahad, et al. “Observation of Exciton-Exciton Interaction Mediated Valley Depolarization in Monolayer MoSe2.”10.1021/acs.nanolett.7b03953__Nano Letters, vol. 18, no. 1, American Chemical Society, 2018, pp. 223–28, doi:10.1021/acs.nanolett.7b03953.
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Trinh, Hoang, et al. “In Vitro Assay for Induction of Adventitious Rooting on Intact Arabidopsis Hypocotyls.”10.1007/978-1-4939-7747-5_7__Root Development , vol. 1761, Springer Nature, 2018, pp. 95–102, doi:10.1007/978-1-4939-7747-5_7.
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Karampelias, Michael, et al. “Optimized Whole Mount in Situ Immunolocalization for Arabidopsis Thaliana  Root Meristems and Lateral Root Primordia.”10.1007/978-1-4939-7747-5_10__Root Development. Methods and Protocols, edited by Daniela Ristova and Elke Barbez, vol. 1761, Springer, 2018, pp. 131–43, doi:10.1007/978-1-4939-7747-5_10.
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Novarino, Gaia. “Zika-Associated Microcephaly: Reduce the Stress and Race for the Treatment.”10.1126/scitranslmed.aar7514__Science Translational Medicine, vol. 10, no. 423, eaar7514, American Association for the Advancement of Science, 2018, doi:10.1126/scitranslmed.aar7514.
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Petritsch, Barbara, and Jana Porsche. “IST PubRep and IST DataRep: The Institutional Repositories at IST Austria.”10.31263/voebm.v71i1.1993__VÖB Mitteilungen, vol. 71, no. 1, Vereinigung Österreichischer Bibliothekarinnen und Bibliothekare, 2018, pp. 199–206, doi:10.31263/voebm.v71i1.1993.
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Alistarh, Dan-Adrian, et al. “Communication-Efficient Randomized Consensus.”10.1007/s00446-017-0315-1__Distributed Computing, vol. 31, no. 6, Springer, 2018, pp. 489–501, doi:10.1007/s00446-017-0315-1.
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Napiórkowski, Marcin M., et al. “The Bogoliubov Free Energy Functional II: The Dilute Limit.”10.1007/s00220-017-3064-x__Communications in Mathematical Physics, vol. 360, no. 1, Springer, 2018, pp. 347–403, doi:10.1007/s00220-017-3064-x.
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