The evolution of gene expression by copy number and point mutations
I. Tomanek, The Evolution of Gene Expression by Copy Number and Point Mutations, Institute of Science and Technology Austria, 2020.

Perturbations of protein synthesis: from antibiotics to genetics and physiology
B. Kavcic, Perturbations of Protein Synthesis: From Antibiotics to Genetics and Physiology, Institute of Science and Technology Austria, 2020.

Tracing the cellular basis of islet specification in mouse pancreas
M.K. Sznurkowska, E.B. Hannezo, R. Azzarelli, L. Chatzeli, T. Ikeda, S. Yoshida, A. Philpott, B.D. Simons, Nature Communications 11 (2020).

Equality conditions of data processing inequality for ;1-z Rényi relative entropies
H. Zhang, Journal of Mathematical Physics 61 (2020).

A note on belief structures and s-approximation spaces
A. Shakiba, A.K. Goharshady, M.R. Hooshmandasl, M. Alambardar Meybodi, Iranian Journal of Mathematical Sciences and Informatics 15 (2020) 117–128.

Abscission couples cell division to embryonic stem cell fate
A. Chaigne, C. Labouesse, I.J. White, M. Agnew, E.B. Hannezo, K.J. Chalut, E.K. Paluch, Developmental Cell 55 (2020) 195–208.

LTP induction boosts glutamate spillover by driving withdrawal of perisynaptic astroglia
C. Henneberger, L. Bard, A. Panatier, J.P. Reynolds, O. Kopach, N.I. Medvedev, D. Minge, M.K. Herde, S. Anders, I. Kraev, J.P. Heller, S. Rama, K. Zheng, T.P. Jensen, I. Sanchez-Romero, C.J. Jackson, H.L. Janovjak, O.P. Ottersen, E.A. Nagelhus, S.H.R. Oliet, M.G. Stewart, U.Va. Nägerl, D.A. Rusakov, Neuron 108 (2020) 9–936..

Neural circuit policies enabling auditable autonomy
M. Lechner, R. Hasani, A. Amini, T.A. Henzinger, D. Rus, R. Grosu, Nature Machine Intelligence 2 (2020) 642–652.

An adhesion code ensures robust pattern formation during tissue morphogenesis
T.Y.-C. Tsai, M.K. Sikora, P. Xia, T. Colak-Champollion, H. Knaut, C.-P.J. Heisenberg, S.G. Megason, Science 370 (2020) 113–116.

A KAM theorem for finitely differentiable Hamiltonian systems
E. Koudjinan, Journal of Differential Equations 269 (2020) 4720–4750.

Rigorous numerics for critical orbits in the quadratic family
A. Golmakani, E. Koudjinan, S. Luzzatto, P. Pilarczyk, Chaos 30 (2020).

Empfehlungen für eine nationale Open Science Strategie in Österreich / Recommendations for a National Open Science Strategy in Austria
K. Mayer, K. Rieck, S. Reichmann, P. Danowski, A. Graschopf, T. König, P. Kraker, P. Lehner, F. Reckling, T. Ross-Hellauer, D. Spichtinger, M. Tzatzanis, S. Schürz, Empfehlungen für eine nationale Open Science Strategie in Österreich / Recommendations for a National Open Science Strategy in Austria, OANA, 2020.

Variance reduction for effective energies of random lattices in the Thomas-Fermi-von Weizsäcker model
J.L. Fischer, M. Kniely, Nonlinearity 33 (2020) 5733–5772.

Learning probabilistic neural representations with randomly connected circuits
O. Maoz, G. Tkadik, M.S. Esteki, R. Kiani, E. Schneidman, Proceedings of the National Academy of Sciences of the United States of America 117 (2020) 25066–25073.

Strain engineering of the charge and spin-orbital interactions in SIrO4
E. Paris, Y. Tseng, E. Paerschke, W. Zhang, M.H. Upton, A. Efimenko, K. Rolfs, D.E. McNally, L. Maurel, M. Naamneh, M. Caputo, V.N. Strocov, Z. Wang, D. Casa, C.W. Schneider, E. Pomjakushina, K. Wohlfeld, M. Radovic, T. Schmitt, Proceedings of the National Academy of Sciences of the United States of America 117 (2020) 24764–24770.

The influence of A/G composition of 3' stop codon contexts on translation termination efficiency in eukaryotes
E.E. Sokolova, P. Vlasov, T.V. Egorova, A.V. Shuvalov, E.Z. Alkalaeva, Molecular Biology 54 (2020) 739–748.

The influence of A/G composition of 3' stop codon contexts on translation termination efficiency in eukaryotes
E.E. Sokolova, P. Vlasov, T.V. Egorova, A.V. Shuvalov, E.Z. Alkalaeva, Molekuliarnaia biologiia 54 (2020) 837–848.

Generalizing CGAL periodic Delaunay triangulations
G.F. Osang, M. Rouxel-Labbé, M. Teillaud, in:, 28th Annual European Symposium on Algorithms, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2020.

Gershgorin loss stabilizes the recurrent neural network compartment of an end-to-end robot learning scheme
M. Lechner, R. Hasani, D. Rus, R. Grosu, in:, Proceedings - IEEE International Conference on Robotics and Automation, IEEE, 2020, pp. 5446–5452.

Microscopic derivation of the Fröhlich Hamiltonian for the Bose polaron in the mean-field limit
K. Mysliwy, R. Seiringer, Annales Henri Poincare 21 (2020) 4003–4025.