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Yourick, Miranda R., et al. “Diurnal Variation in Opsin Expression and Common Housekeeping Genes Necessitates Comprehensive Normalization Methods for Quantitative Real-Time PCR Analyses.”10.1111/1755-0998.13062__Molecular Ecology Resources, vol. 19, no. 6, Wiley, 2019, pp. 1447–60, doi:10.1111/1755-0998.13062.
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Ibáñez, Maria, et al. “Ligand-Mediated Band Engineering in Bottom-up Assembled SnTe Nanocomposites for Thermoelectric Energy Conversion.”10.1021/jacs.9b01394__Journal of the American Chemical Society, vol. 141, no. 20, American Chemical Society, 2019, pp. 8025–29, doi:10.1021/jacs.9b01394.
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Lopez Alonso, Jose M., et al. “Dynamics of Viscoelastic Pipe Flow at Low Reynolds Numbers in the Maximum Drag Reduction Limit.”10.1017/jfm.2019.486__Journal of Fluid Mechanics, vol. 874, CUP, 2019, pp. 699–719, doi:10.1017/jfm.2019.486.
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Cipolloni, Giorgio, et al. “Cusp Universality for Random Matrices, II: The Real Symmetric Case.”10.2140/paa.2019.1.615__Pure and Applied Analysis , vol. 1, no. 4, MSP, 2019, pp. 615–707, doi:10.2140/paa.2019.1.615.
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Zhechev, Stephan Y. Algorithmic Aspects of Homotopy Theory and Embeddability. Institute of Science and Technology Austria, 2019, doi:10.15479/AT:ISTA:6681.
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Varshney, Atul, and Victor Steinberg. “Elastic Alfven Waves in Elastic Turbulence.”10.1038/s41467-019-08551-0__Nature Communications, vol. 10, 652, Springer Nature, 2019, doi:10.1038/s41467-019-08551-0.
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Flandoli, Franco, et al. “A Mean-Field Model with Discontinuous Coefficients for Neurons with Spatial Interaction.”10.3934/dcds.2019126__Discrete and Continuous Dynamical Systems, vol. 39, no. 6, American Institute of Mathematical Sciences, 2019, pp. 3037–67, doi:10.3934/dcds.2019126.
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Dotter, Christoph, and Gaia 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, doi:10.15479/AT:ISTA:6074.
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Schröder, Dominik J. From Dyson to Pearcey: Universal Statistics in Random Matrix Theory. Institute of Science and Technology Austria, 2019, doi:10.15479/AT:ISTA:th6179.
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Richer, Harvey B., et al. “A Massive Magnetic Helium Atmosphere White Dwarf Binary in a Young Star Cluster.”10.3847/1538-4357/ab2874__The Astrophysical Journal, vol. 880, no. 2, 75, American Astronomical Society, 2019, doi:10.3847/1538-4357/ab2874.
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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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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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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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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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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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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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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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Dimitrov, Dimitar, et al. “Culture of Mouse Giant Central Nervous System Synapses and Application for Imaging and Electrophysiological Analyses.”10.1007/978-1-4939-7571-6_15__Neurotrophic Factors, edited by Stephen D. Skaper, vol. 1727, Springer, 2018, pp. 201–15, doi:10.1007/978-1-4939-7571-6_15.
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Maier, Robert M., et al. “Improving Genetic Prediction by Leveraging Genetic Correlations among Human Diseases and Traits.”10.1038/s41467-017-02769-6__Nature Communications, vol. 9, 989, Springer Nature, 2018, doi:10.1038/s41467-017-02769-6.
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Zhu, Zhihong, et al. “Causal Associations between Risk Factors and Common Diseases Inferred from GWAS Summary Data.”10.1038/s41467-017-02317-2__Nature Communications, vol. 9, 224, Springer Nature, 2018, doi:10.1038/s41467-017-02317-2.
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Lloyd-Jones, Luke R., et al. “Transformation of Summary Statistics from Linear Mixed Model Association on All-or-None Traits to Odds Ratio.”10.1534/genetics.117.300360__Genetics, vol. 208, no. 4, Genetics Society of America, 2018, pp. 1397–408, doi:10.1534/genetics.117.300360.
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Herrmann, Ina, et al. “Canine Macrophages Can like Human Macrophages Be in Vitro Activated toward the M2a Subtype Relevant in Allergy.”10.1016/j.dci.2018.01.005__Developmental &; Comparative Immunology, vol. 82, no. 5, Elsevier, 2018, pp. 118–27, doi:10.1016/j.dci.2018.01.005.
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Götberg, Ylva Louise Linsdotter, et al. “Spectral Models for Binary Products: Unifying Subdwarfs and Wolf-Rayet Stars as a Sequence of Stripped-Envelope Stars.”10.1051/0004-6361/201732274__Astronomy &;amp; Astrophysics, vol. 615, , EDP Sciences, 2018, doi:10.1051/0004-6361/201732274.
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Schootemeijer, A., et al. “Clues about the Scarcity of Stripped-Envelope Stars from the Evolutionary State of the SdO+Be Binary System <6 Persei.”10.1051/0004-6361/201731194__Astronomy &; Astrophysics, vol. 615, , EDP Sciences, 2018, doi:10.1051/0004-6361/201731194.
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Smith, Nathan, et al. “Extreme Isolation of WN3/O3 Stars and Implications for Their Evolutionary Origin as the Elusive Stripped Binaries.”10.1093/mnras/stx3181__Monthly Notices of the Royal Astronomical Society, vol. 475, no. 1, Oxford University Press, 2018, pp. 772–82, doi:10.1093/mnras/stx3181.
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Zimin, Alexander. Learning from Dependent Data. Institute of Science and Technology Austria, 2018, doi:10.15479/AT:ISTA:TH1048.
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