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Graff, Grzegorz, Beata Graff, Grzegorz Jablonski, and Krzysztof Narkiewicz. “The Application of Persistent Homology in the Analysis of Heart Rate Variability.”https://doi.org/10.1109/ESGCO49734.2020.9158054__In 11th Conference of the European Study Group on Cardiovascular Oscillations: Computation and Modelling in Physiology: New Challenges and Opportunities, . IEEE, 2020.https://doi.org/10.1109/ESGCO49734.2020.9158054 .
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Tian, Anhao, Bo Kang, Baizhou Li, Biying Qiu, Wenhong Jiang, Fangjie Shao, Qingqing Gao, et al. “Oncogenic State and Cell Identity Combinatorially Dictate the Susceptibility of Cells within Glioma Development Hierarchy to IGR Targeting.”https://doi.org/10.1002/advs.202001724__Advanced Science. Wiley, 2020.https://doi.org/10.1002/advs.202001724 .
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Prehal, Christian, Harald Fitzek, Gerald Kothleitner, Volker Presser, Bernhard Gollas, Stefan Alexander Freunberger, and Qamar Abbas. “Persistent and Reversible Solid Iodine Electrodeposition in Nanoporous Carbons.”https://doi.org/10.1038/s41467-020-18610-6__Nature Communications. Springer Nature, 2020.https://doi.org/10.1038/s41467-020-18610-6 .
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Deichler, Alfonso, Denisse Carrasco, Luciana Lopez-Jury, Tomas A Vega Zuniga, Natalia Marquez, Jorge Mpodozis, and Gonzalo Marin. “A Specialized Reciprocal Connectivity Suggests a Link between the Mechanisms by Which the Superior Colliculus and Parabigeminal Nucleus Produce Defensive Behaviors in Rodents.”https://doi.org/10.1038/s41598-020-72848-0__Scientific Reports. Springer Nature, 2020.https://doi.org/10.1038/s41598-020-72848-0 .
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Esteban, Laura A, Lyubov R Lonishin, Daniil M Bobrovskiy, Gregory Leleytner, Natalya S Bogatyreva, Fyodor Kondrashov, and Dmitry Nhttps://doi.org/10.1093/bioinformatics/btz841__Ivankov. “HypercubeME: Two Hundred Million Combinatorially Complete Datasets from a Single Experiment.”https://doi.org/10.1093/bioinformatics/btz841__Bioinformatics. Oxford Academic, 2020.https://doi.org/10.1093/bioinformatics/btz841 .
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Merrin, Jack. “Differences in Power Law Growth over Time and Indicators of COVID-19 Pandemic Progression Worldwide.”https://doi.org/10.1088/1478-3975/abb2db__Physical Biology. IOP Publishing, 2020.https://doi.org/10.1088/1478-3975/abb2db .
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Henneberger, Christian, Lucie Bard, Aude Panatier, James P. Reynolds, Olga Kopach, Nikolay I. Medvedev, Daniel Minge, et al. “LTP Induction Boosts Glutamate Spillover by Driving Withdrawal of Perisynaptic Astroglia.”https://doi.org/10.1016/j.neuron.2020.08.030__Neuron. Elsevier, 2020.https://doi.org/10.1016/j.neuron.2020.08.030 .
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Ghazaryan, Areg, Mikhail Lemeshko, and Artem Volosniev. “Filtering Spins by Scattering from a Lattice of Point Magnets.”https://doi.org/10.1038/s42005-020-00445-8__Communications Physics. Springer Nature, 2020.https://doi.org/10.1038/s42005-020-00445-8 .
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Sznurkowska, Magdalena K., Edouard B Hannezo, Roberta Azzarelli, Lemonia Chatzeli, Tatsuro Ikeda, Shosei Yoshida, Anna Philpott, and Benjamin D Simons. “Tracing the Cellular Basis of Islet Specification in Mouse Pancreas.”https://doi.org/10.1038/s41467-020-18837-3__Nature Communications. Springer Nature, 2020.https://doi.org/10.1038/s41467-020-18837-3 .
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Chaigne, Agathe, Céline Labouesse, Ian J. White, Meghan Agnew, Edouard B Hannezo, Kevin J. Chalut, and Ewa K. Paluch. “Abscission Couples Cell Division to Embryonic Stem Cell Fate.”https://doi.org/10.1016/j.devcel.2020.09.001__Developmental Cell. Elsevier, 2020.https://doi.org/10.1016/j.devcel.2020.09.001 .
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Fischer, Julian L, and Michael Kniely. “Variance Reduction for Effective Energies of Random Lattices in the Thomas-Fermi-von Weizsäcker Model.”https://doi.org/10.1088/1361-6544/ab9728__Nonlinearity. IOP Publishing, 2020.https://doi.org/10.1088/1361-6544/ab9728 .
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arXiv: 1906.12245

Tsai, Tony Y.-C., Mateusz K Sikora, Peng Xia, Tugba Colak-Champollion, Holger Knaut, Carl-Philipp J Heisenberg, and Sean G. Megason. “An Adhesion Code Ensures Robust Pattern Formation during Tissue Morphogenesis.”https://doi.org/10.1126/science.aba6637__Science. American Association for the Advancement of Science, 2020.https://doi.org/10.1126/science.aba6637 .
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Galan, Silvia, Nick N Machnik, Kai Kruse, Noelia Díaz, Marc A Marti-Renom, and Juan M Vaquerizas. “CHESS Enables Quantitative Comparison of Chromatin Contact Data and Automatic Feature Extraction.”https://doi.org/10.1038/s41588-020-00712-y__Nature Genetics. Springer Nature, 2020.https://doi.org/10.1038/s41588-020-00712-y .
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Lechner, Mathias, Ramin Hasani, Alexander Amini, Thomas A Henzinger, Daniela Rus, and Radu Grosu. “Neural Circuit Policies Enabling Auditable Autonomy.”https://doi.org/10.1038/s42256-020-00237-3__Nature Machine Intelligence. Springer Nature, 2020.https://doi.org/10.1038/s42256-020-00237-3 .
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Zhang, Haonan. “Equality Conditions of Data Processing Inequality for ;1-z Rényi Relative Entropies.”https://doi.org/10.1063/5.0022787__Journal of Mathematical Physics. AIP Publishing, 2020.https://doi.org/10.1063/5.0022787 .
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arXiv: 2007.06644

Maoz, Ori, Gasper Tkadik, Mohamad Saleh Esteki, Roozbeh Kiani, and Elad Schneidman. “Learning Probabilistic Neural Representations with Randomly Connected Circuits.”https://doi.org/10.1073/pnas.1912804117__Proceedings of the National Academy of Sciences of the United States of America. National Academy of Sciences, 2020.https://doi.org/10.1073/pnas.1912804117 .
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Lechner, Mathias, Ramin Hasani, Daniela Rus, and Radu Grosu. “Gershgorin Loss Stabilizes the Recurrent Neural Network Compartment of an End-to-End Robot Learning Scheme.”https://doi.org/10.1109/ICRA40945.2020.9196608__In Proceedings - IEEE International Conference on Robotics and Automation, 5446–52. IEEE, 2020.https://doi.org/10.1109/ICRA40945.2020.9196608 .
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Sokolova, E. E., Petr Vlasov, T. V. Egorova, A. V. Shuvalov, and E. Z. Alkalaeva. “The Influence of A/G Composition of 3’ Stop Codon Contexts on Translation Termination Efficiency in Eukaryotes.”https://doi.org/10.1134/S0026893320050088__Molecular Biology. Springer Nature, 2020.https://doi.org/10.1134/S0026893320050088 .
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Sokolova, E. E., Petr Vlasov, T. V. Egorova, A. V. Shuvalov, and E. Z. Alkalaeva. “The influence of A/G composition of 3’ stop codon contexts on translation termination efficiency in eukaryotes.”https://doi.org/10.31857/S0026898420050080__Molekuliarnaia biologiia. Russian Academy of Sciences, 2020.https://doi.org/10.31857/S0026898420050080 .
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