PIN-driven auxin transport emerged early in streptophyte evolution
R. Skokan, E. Medvecká, T. Viaene, S. Vosolsobb, M. Zwiewka, K. Müller, P. Skfpa, M. Karady, Y. Zhang, D.P. Janacek, U.Z. Hammes, K. Ljung, T. Nodzyski, J. Petrásek, J. Friml, Nature Plants 5 (2019) 1114–1119.

Shellability is NP-complete
X. Goaoc, P. Patak, Z. Patakova, M. Tancer, U. Wagner, Journal of the ACM 66 (2019).

From real-time logic to timed automata
T. Ferrere, O. Maler, D. Nidkovi, A. Pnueli, Journal of the ACM 66 (2019).

X-CAD: Optimizing CAD Models with Extended Finite Elements
C. Hafner, C. Schumacher, E. Knoop, T. Auzinger, B. Bickel, M. Bächer, ACM Transactions on Graphics 38 (2019).

Gradient compression for communication-limited convex optimization
S. Khirirat, M. Johansson, D.-A. Alistarh, in:, 2018 IEEE Conference on Decision and Control, IEEE, 2019.

Common regulatory pathways mediate activity of microRNAs inducing cardiomyocyte proliferation
C. Torrini, R.J. Cubero, E. Dirkx, L. Braga, H. Ali, G. Prosdocimo, M.I. Gutierrez, C. Collesi, D. Licastro, L. Zentilin, M. Mano, S. Zacchigna, M. Vendruscolo, M. Marsili, A. Samal, M. Giacca, Cell Reports 27 (2019) 2759–2771.e5.

Statistical criticality arises in most informative representations
R.J. Cubero, J. Jo, M. Marsili, Y. Roudi, J. Song, Journal of Statistical Mechanics: Theory and Experiment 2019 (2019).

Design and characterization of methods and biological components to realize synthetic neurotransmission
C. Mckenzie, Design and Characterization of Methods and Biological Components to Realize Synthetic Neurotransmission, Institute of Science and Technology Austria, 2019.

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

Defying gravity: a plant's quest for moisture
S.A. Sinclair, J. Friml, Cell Research 29 (2019) 965–966.

End-to-end correlated subgap states in hybrid nanowires
G.L.R. Anselmetti, E.A. Martinez, G.C. Ménard, D. Puglia, F.K. Malinowski, J.S. Lee, S. Choi, M. Pendharkar, C.J. Palmstrøm, C.M. Marcus, L. Casparis, A.P. Higginbotham, Physical Review B 100 (2019).

Molecular and evolutionary dynamics of animal sex-chromosome turnover
B. Vicoso, Nature Ecology &; Evolution 3 (2019) 1632–1641.

Transient memory in gene regulation
C.C. Guet, T.A. Henzinger, C. Igler, T. Petrov, A. Sezgin, in:, 17th International Conference on Computational Methods in Systems Biology, Springer Nature, 2019, pp. 155–187.

Algebraic methods in the congested clique
K. Censor-Hillel, P. Kaski, J. Korhonen, C. Lenzen, A. Paz, J. Suomela, Distributed Computing 32 (2019) 461–478.

Supplementary data for "Programming temporal morphing of self-actuated shells"
R. Guseinov, (2019).

Electro-optic entanglement source for microwave to telecom quantum state transfer
A.R. Rueda Sanchez, W.J. Hease, S. Barzanjeh, J.M. Fink, Npj Quantum Information 5 (2019).

Faster algorithms for dynamic algebraic queries in basic RSMs with constant treewidth
K. Chatterjee, A.K. Goharshady, P. Goyal, R. Ibsen-Jensen, A. Pavlogiannis, ACM Transactions on Programming Languages and Systems 41 (2019).

Shape expressions for specifying and extracting signal features
D. Nidkovi, X. Qin, T. Ferrere, C. Mateis, J. Deshmukh, in:, 19th International Conference on Runtime Verification, Springer Nature, 2019, pp. 292–309.

Neuronal differentiation influences progenitor arrangement in the vertebrate neuroepithelium
P. Guerrero, R. Perez-Carrasco, M.P. Zagórski, D. Page, A. Kicheva, J. Briscoe, K.M. Page, Development 146 (2019).

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