Meggendorfer, T. (2022). PET – A partial exploration tool for probabilistic verification. In 20th International Symposium on Automated Technology for Verification and Analysis (Vol. 13505, pp. 320–326). Virtual: Springer Nature.https://doi.org/10.1007/978-3-031-19992-9_20 

Bose, S., Henzinger, T. A., Lehtinen, K., Schewe, S., &; Totzke, P. (2022). History-deterministic timed automata are not determinizable. In 16th International Conference on Reachability Problems (Vol. 13608, pp. 67–76). Kaiserslautern, Germany: Springer Nature.https://doi.org/10.1007/978-3-031-19135-0_5 

Lewin, M., Lieb, E. H., &; Seiringer, R. (2022). Improved Lieb–Oxford bound on the indirect and exchange energies. Letters in Mathematical Physics. Springer Nature.https://doi.org/10.1007/s11005-022-01584-5 

Köse, S., &; Özbudak, F. (2022). Factorization of some polynomials over finite local commutative rings and applications to certain self-dual and LCD codes. Cryptography and Communications. Springer Nature.https://doi.org/10.1007/s12095-022-00557-8 

Basilico, B., Ferrucci, L., Ratano, P., Golia, M. T., Grimaldi, A., Rosito, M.,https://doi.org/10.1002/glia.24101__Ragozzino, D. (2022). Microglia control glutamatergic synapses in the adult mouse hippocampus. Glia. Wiley.https://doi.org/10.1002/glia.24101 

Mysliwy, K. (2022). Polarons in Bose gases and polar crystals: Some rigorous energy estimates. Institute of Science and Technology Austria.https://doi.org/10.15479/at:ista:11473 

Mysliwy, K., &; Seiringer, R. (2022). Polaron models with regular interactions at strong coupling. Journal of Statistical Physics. Springer Nature.https://doi.org/10.1007/s10955-021-02851-w 

Chatterjee, K., &; Doyen, L. (2022). Graph planning with expected finite horizon. Journal of Computer and System Sciences. Elsevier.https://doi.org/10.1016/j.jcss.2022.04.003 

Brighi, P., Ljubotina, M., &; Serbyn, M. (n.d.). Hilbert space fragmentation and slow dynamics in particle-conserving quantum East models. arXiv.https://doi.org/10.48550/arXiv.2210.15607 

Arroyo Guevara, A. M., &; Felsner, S. (2022). Approximating the bundled crossing number. In WALCOM 2022: Algorithms and Computation (Vol. 13174, pp. 383–395). Jember, Indonesia: Springer Nature.https://doi.org/10.1007/978-3-030-96731-4_31 

Grover, K., Kretinsky, J., Meggendorfer, T., &; Weininger, M. (2022). Anytime guarantees for reachability in uncountable Markov decision processes. In 33rd International Conference on Concurrency Theory  (Vol. 243). Warsaw, Poland: Schloss Dagstuhl - Leibniz-Zentrum für Informatik.https://doi.org/10.4230/LIPIcs.CONCUR.2022.11 

Gruenbacher, S. A., Lechner, M., Hasani, R., Rus, D., Henzinger, T. A., Smolka, S. A., &; Grosu, R. (2022). GoTube: Scalable statistical verification of continuous-depth models. Proceedings of the AAAI Conference on Artificial Intelligence. Association for the Advancement of Artificial Intelligence.https://doi.org/10.1609/aaai.v36i6.20631 

Konstantinov, N. H., &; Lampert, C. (2022). Fairness-aware PAC learning from corrupted data. Journal of Machine Learning Research. ML Research Press.

Konstantinov, N. H., &; Lampert, C. (2022). On the impossibility of fairness-aware learning from corrupted data. In Proceedings of Machine Learning Research (Vol. 171, pp. 59–83). ML Research Press.

Li, M., Liu, Y., Zhang, Y., Chang, C., Zhang, T., Yang, D.,https://doi.org/10.1016/j.cej.2021.133837__Cabot, A. (2022). Room temperature aqueous-based synthesis of copper-doped lead sulfide nanoparticles for thermoelectric application. Chemical Engineering Journal. Elsevier.https://doi.org/10.1016/j.cej.2021.133837 

Wagner, U. (2022). High-dimensional expanders (after Gromov, Kaufman, Kazhdan, Lubotzky, and others). Bulletin de La Societe Mathematique de France. Societe Mathematique de France.https://doi.org/10.24033/ast.1188 

Azkanaz, M., Corominas-Murtra, B., Ellenbroek, S. I. J., Bruens, L., Webb, A. T., Laskaris, D.,https://doi.org/10.1038/s41586-022-04962-0__van Rheenen, J. (2022). Retrograde movements determine effective stem cell numbers in the intestine. Nature. Springer Nature.https://doi.org/10.1038/s41586-022-04962-0 

Qi, L., Kwiatkowski, M., Chen, H., Hörmayer, L., Sinclair, S. A., Zou, M.,https://doi.org/10.1038/s41586-022-05369-7__Friml, J. (2022). Adenylate cyclase activity of TI/AFB auxin receptors in plants. Nature. Springer Nature.https://doi.org/10.1038/s41586-022-05369-7 

Rahman, M., Ramirez, N., DiazBalzac, C. A., &; Bülow, H. E. (2022). Specific N-glycans regulate an extracellular adhesion complex during somatosensory dendrite patterning. EMBO Reports. Embo Press.https://doi.org/10.15252/embr.202154163 

Wang, B., Ayats López, R., Meseguer, A., &; Marques, F. (2022). Phase-locking flows between orthogonally stretching parallel plates. Physics of Fluids. AIP Publishing.https://doi.org/10.1063/5.0124152 

Muller, C. J., Yang, D., Craig, G., Cronin, T., Fildier, B., Haerter, J. O.,https://doi.org/10.1146/annurev-fluid-022421-011319__Sherwood, S. C. (2022). Spontaneous aggregation of convective storms. Annual Review of Fluid Mechanics. Annual Reviews.https://doi.org/10.1146/annurev-fluid-022421-011319 

Artan, M., Sohn, J., Lee, C., Park, S. Y., &; Lee, S. J. V. (2022). MON-2, a Golgi protein, promotes longevity by upregulating autophagy through mediating inter-organelle communications. Autophagy. Taylor &; Francis.https://doi.org/10.1080/15548627.2022.2039523 

Thayyil, S., Nishigami, Y., Islam, M. J., Hashim, P. K., Furuta, K., Oiwa, K.,https://doi.org/10.1002/chem.202200807__Tamaoki, N. (2022). Dynamic control of microbial movement by photoswitchable ATP antagonists. Chemistry - A European Journal. Wiley.https://doi.org/10.1002/chem.202200807 

Chhugani, K., Frolova, A., Salyha, Y., Fiscutean, A., Zlenko, O., Reinsone, S.,https://doi.org/10.1126/science.adg0797__Mangul, S. (2022). Remote opportunities for scholars in Ukraine. Science. American Association for the Advancement of Science.https://doi.org/10.1126/science.adg0797 

Confavreux, B. J., &; Vogels, T. P. (2022). A familiar thought: Machines that replace us? Neuron. Elsevier.https://doi.org/10.1016/j.neuron.2022.01.014 

Xiao, H., Hu, Y., Wang, Y., Cheng, J., Wang, J., Chen, G.,https://doi.org/10.1016/j.devcel.2022.11.006__Zhang, J. (2022). Nitrate availability controls translocation of the transcription factor N for cell-type-specific reprogramming of root growth. Developmental Cell. Elsevier.https://doi.org/10.1016/j.devcel.2022.11.006 

Wang, X., Zuo, Y., Horta, S., He, R., Yang, L., Ostovari Moghaddam, A.,https://doi.org/10.1021/acsami.2c11627__Cabot, A. (2022). CoFeNiMnZnB as a high-entropy metal boride to boost the oxygen evolution reaction. ACS Applied Materials &; Interfaces. American Chemical Society.https://doi.org/10.1021/acsami.2c11627 

Toprakcioglu, Z., Kamada, A., Michaels, T. C. T., Xie, M., Krausser, J., Wei, J.,https://doi.org/10.1073/pnas.2109718119__Knowles, T. P. J. (2022). Adsorption free energy predicts amyloid protein nucleation rates. Proceedings of the National Academy of Sciences of the United States of America. Proceedings of the National Academy of Sciences.https://doi.org/10.1073/pnas.2109718119 

Dormeshkin, D., Shapira, M., Karputs, A., Kavaleuski, A., Kuzminski, I., Stepanova, E., &; Gilep, A. (2022). Combining of synthetic VHH and immune scFv libraries for pregnancy-associated glycoproteins ELISA development. Applied Microbiology and Biotechnology. Springer Nature.https://doi.org/10.1007/s00253-022-12022-w 

Su, L., Wang, D., Wang, S., Qin, B., Wang, Y., Qin, Y.,https://doi.org/10.1126/science.abn8997__Zhao, L. D. (2022). High thermoelectric performance realized through manipulating layered phonon-electron decoupling. Science. American Association for the Advancement of Science.https://doi.org/10.1126/science.abn8997 

Shuvaev, A., Dziom, U., Gospodarid, J., Novik, E. G., Dobretsova, A. A., Mikhailov, N. N.,https://doi.org/10.3390/nano12142492__Pimenov, A. (2022). Band structure near the Dirac Point in HgTe quantum wells with critical thickness. Nanomaterials. MDPI.https://doi.org/10.3390/nano12142492 

Konstantinov, N. H. (2022). Robustness and fairness in machine learning. Institute of Science and Technology Austria.https://doi.org/10.15479/at:ista:10799 

Floreani, S., Redig, F., &; Sau, F. (2022). Orthogonal polynomial duality of boundary driven particle systems and non-equilibrium correlations. Annales de l’institut Henri Poincare (B) Probability and Statistics. Institute of Mathematical Statistics.https://doi.org/10.1214/21-AIHP1163 

Dello Schiavo, L. (2022). The Dirichlet–Ferguson diffusion on the space of probability measures over a closed Riemannian manifold. Annals of Probability. Institute of Mathematical Statistics.https://doi.org/10.1214/21-AOP1541 

Cao, D., Shen, X., Wang, A., Yu, F., Wu, Y., Shi, S.,https://doi.org/10.1038/s41929-022-00752-z__Chen, Y. (2022). Threshold potentials for fast kinetics during mediated redox catalysis of insulators in Li–O2 and Li–S batteries. Nature Catalysis. Springer Nature.https://doi.org/10.1038/s41929-022-00752-z 

Schaaf, Z., Tat, L., Cannizzaro, N., Green, R., Rülicke, T., Hippenmeyer, S., &; Zarbalis, K. (n.d.). WDF cell autonomously controls neuronal migration. Research Square.https://doi.org/10.21203/rs.3.rs-1316167/v1 

Utzat, H., &; Ibáñez, M. (2022). Molecular engineering enables bright blue LEDs. Nature. Springer Nature.https://doi.org/10.1038/d41586-022-04447-0 

Ivanov, G., &; Naszodi, M. (2022). A quantitative Helly-type theorem: Containment in a homothet. SIAM Journal on Discrete Mathematics. Society for Industrial and Applied Mathematics.https://doi.org/10.1137/21M1403308 

Browning, T. D. (2022). Revisiting the Manin–Peyre conjecture for the split del Pezzo surface of degree 5. New York Journal of Mathematics. State University of New York.

Roos, B., &; Seiringer, R. (2022). Two-particle bound states at interfaces and corners. Journal of Functional Analysis. Elsevier.https://doi.org/10.1016/j.jfa.2022.109455 

Rao, P., B R, M., Fox, G., Weyrich, T., Bickel, B., Seidel, H.-P.,  Elgharib, M. (2022). VoRF: Volumetric Relightable Faces. In 33rd British Machine Vision Conference. London, United Kingdom: British Machine Vision Association and Society for Pattern Recognition.

Bartalska, K., Hübschmann, V., Korkut, M., Cubero, R. J., Venturino, A., Rössler, K.,https://doi.org/10.1016/j.isci.2022.104580__Siegert, S. (2022). A systematic characterization of microglia-like cell occurrence during retinal organoid differentiation. IScience. Elsevier.https://doi.org/10.1016/j.isci.2022.104580 

Hübschmann, V., Korkut, M., &; Siegert, S. (2022). Assessing human iPSC-derived microglia identity and function by immunostaining, phagocytosis, calcium activity, and inflammation assay. STAR Protocols. Elsevier.https://doi.org/10.1016/j.xpro.2022.101866 

Friml, J., Gallei, M. C., Gelová, Z., Johnson, A. J., Mazur, E., Monzer, A.,https://doi.org/10.1038/s41586-022-05187-x__Rakusová, H. (2022). AB–TMK auxin perception for global phosphorylation and auxin canalization. Nature. Springer Nature.https://doi.org/10.1038/s41586-022-05187-x 

Gallei, M. C. (2022). Auxin and strigolactone non-canonical signaling regulating development in Arabidopsis thaliana. Institute of Science and Technology Austria.https://doi.org/10.15479/at:ista:11626 

Li, L., Gallei, M. C., &; Friml, J. (2022). Bending to auxin: Fast acid growth for tropisms. Trends in Plant Science. Cell Press.https://doi.org/10.1016/j.tplants.2021.11.006 

Zemlicka, M., Redchenko, E., Peruzzo, M., Hassani, F., Trioni, A., Barzanjeh, S., &; Fink, J. M. (2022). Compact vacuum gap transmon qubits: Selective and sensitive probes for superconductor surface losses. Zenodo.https://doi.org/10.5281/ZENODO.8408897 

Stöllner, A. (2022). Measuring airborne nanoplastics using aerosol physics. Nature Reviews Earth and Environment. Springer Nature.https://doi.org/10.1038/s43017-022-00302-y 

Hansen, A. H., Pauler, F., Riedl, M., Streicher, C., Heger, A.-M., Laukoter, S.,https://doi.org/10.1093/oons/kvac009__Hippenmeyer, S. (2022). Tissue-wide effects override cell-intrinsic gene function in radial neuron migration. Oxford Open Neuroscience. Oxford Academic.https://doi.org/10.1093/oons/kvac009 

Chatterjee, K., Goharshady, A. K., Meggendorfer, T., &; Zikelic, D. (2022). Sound and complete certificates for auantitative termination analysis of probabilistic programs. In Proceedings of the 34th International Conference on Computer Aided Verification (Vol. 13371, pp. 55–78). Haifa, Israel: Springer.https://doi.org/10.1007/978-3-031-13185-1_4 

Lechner, M., Zikelic, D., Chatterjee, K., &; Henzinger, T. A. (2022). Stability verification in stochastic control systems via neural network supermartingales. Proceedings of the AAAI Conference on Artificial Intelligence. Association for the Advancement of Artificial Intelligence.https://doi.org/10.1609/aaai.v36i7.20695 

Zikelic, D., Lechner, M., Chatterjee, K., &; Henzinger, T. A. (n.d.). Learning stabilizing policies in stochastic control systems. arXiv.https://doi.org/10.48550/arXiv.2205.11991 

Phan, D. T., Senior, J. L., Ghazaryan, A., Hatefipour, M., Strickland, W. M., Shabani, J.,https://doi.org/10.1103/physrevlett.128.107701__Higginbotham, A. P. (2022). Detecting induced p±ip pairing at the Al-InAs interface with a quantum microwave circuit. Physical Review Letters. American Physical Society.https://doi.org/10.1103/physrevlett.128.107701 

Kumar, R., Reichelt, M., &; Bisht, N. C. (2022). An LC-MS/MS Assay for Enzymatic Characterization of Methylthioalkylmalate Synthase (MAMS) Involved in Glucosinolate Biosynthesis. In J. Jez (Ed.), Biochemical Pathways and Environmental Responses in Plants: Part A (Vol. 676, pp. 49–69). Elsevier.https://doi.org/10.1016/bs.mie.2022.07.019 

Sack, S., Medina Ramos, R. A., Michailidis, A., Kueng, R., &; Serbyn, M. (2022). Avoiding barren plateaus using classical shadows. PRX Quantum. American Physical Society.https://doi.org/10.1103/prxquantum.3.020365 

Amani, M. H., Bombari, S., Mondelli, M., Pukdee, R., &; Rini, S. (2022). Sharp asymptotics on the compression of two-layer neural networks. IEEE Information Theory Workshop. Mumbai, India: IEEE.https://doi.org/10.1109/ITW54588.2022.9965870 

Bombari, S., Amani, M. H., &; Mondelli, M. (2022). Memorization and optimization in deep neural networks with minimum over-parameterization. In 36th Conference on Neural Information Processing Systems (Vol. 35, pp. 7628–7640). Curran Associates.

Stopp, J. A., &; Sixt, M. K. (2022). Plan your trip before you leave: The neutrophils’ search-and-run journey. Journal of Cell Biology. Rockefeller University Press.https://doi.org/10.1083/jcb.202206127 

Qin, Y., Qin, B., Wang, D., Chang, C., &; Zhao, L.-D. (2022). Solid-state cooling: Thermoelectrics. Energy &; Environmental Science. Royal Society of Chemistry.https://doi.org/10.1039/d2ee02408j 

Zikelic, D., Lechner, M., Henzinger, T. A., &; Chatterjee, K. (n.d.). Learning control policies for stochastic systems with reach-avoid guarantees. arXiv.https://doi.org/10.48550/ARXIV.2210.05308 

Norelli, A., Fumero, M., Maiorca, V., Moschella, L., Rodolà, E., &; Locatello, F. (n.d.). ASIF: Coupled data turns unimodal models to multimodal without training. arXiv.https://doi.org/10.48550/arXiv.2210.01738 

Radler, P. (2022). In vitro reconstitution of Escherichia coli divisome activation. Institute of Science and Technology Austria.https://doi.org/10.15479/AT:ISTA:10934 

Radler, P., Baranova, N. S., Dos Santos Caldas, P. R., Sommer, C. M., Lopez Pelegrin, M. D., Michalik, D., &; Loose, M. (2022). In vitro reconstitution of Escherichia coli divisome activation. Nature Communications. Springer Nature.https://doi.org/10.1038/s41467-022-30301-y 

Schulz, R., Korkut, M., Venturino, A., Colombo, G., &; Siegert, S. (2022). Chimeric GPCRs mimic distinct signaling pathways and modulate microglia responses. Nature Communications. Springer Nature.https://doi.org/10.1038/s41467-022-32390-1 

Schulz, R. (2022). Source Data (Chimeric GPCRs mimic distinct signaling pathways and modulate microglia responses). Institute of Science and Technology Austria.https://doi.org/10.15479/AT:ISTA:11542 

Valentini, M., Borovkov, M., Prada, E., Martí-Sánchez, S., Botifoll, M., Hofmann, A. C.,https://doi.org/10.1038/s41586-022-05382-w__Katsaros, G. (2022). Majorana-like Coulomb spectroscopy in the absence of zero-bias peaks. Nature. Springer Nature.https://doi.org/10.1038/s41586-022-05382-w 

Valentini, M., San-Jose, P., Arbiol, J., Marti-Sanchez, S., &; Botifoll, M. (2022). Data for “Majorana-like Coulomb spectroscopy in the absence of zero bias peaks.”https://doi.org/10.15479/AT:ISTA:12102__Institute of Science and Technology Austria.https://doi.org/10.15479/AT:ISTA:12102 

Surendranadh, P., Arathoon, L. S., Baskett, C., Field, D., Pickup, M., &; Barton, N. H. (2022). Effects of fine-scale population structure on the distribution of heterozygosity in a long-term study of Antirrhinum majus. Genetics. Oxford University Press.https://doi.org/10.1093/genetics/iyac083 

Surendranadh, P., Arathoon, L. S., Baskett, C., Field, D., Pickup, M., &; Barton, N. H. (2022). Effects of fine-scale population structure on the distribution of heterozygosity in a long-term study of Antirrhinum majus. Institute of Science and Technology Austria.https://doi.org/10.15479/at:ista:11321 

Akopyan, A., &; Karasev, R. (2022). When different norms lead to same billiard trajectories? European Journal of Mathematics. Springer Nature.https://doi.org/10.1007/s40879-020-00405-0 

Sperl, G. (2022). Homogenizing yarn simulations: Large-scale mechanics, small-scale detail, and quantitative fitting. Institute of Science and Technology Austria.https://doi.org/10.15479/at:ista:12103 

Rzadkowski, W. (2022). Analytic and machine learning approaches to composite quantum impurities. Institute of Science and Technology Austria.https://doi.org/10.15479/at:ista:10759 

Ingole, K. D., Nagarajan, N., Uhse, S., Giannini, C., &; Djamei, A. (2022). Tetracycline-controlled (TetON) gene expression system for the smut fungus Ustilago maydis. Frontiers in Fungal Biology. Frontiers Media.https://doi.org/10.3389/ffunb.2022.1029114 

Feliciangeli, D., Rademacher, S. A. E., &; Seiringer, R. (2022). The effective mass problem for the Landau-Pekar equations. Journal of Physics A: Mathematical and Theoretical. IOP Publishing.https://doi.org/10.1088/1751-8121/ac3947 

Podlaski, W. F., Agnes, E. J., &; Vogels, T. P. (2022). High capacity and dynamic accessibility in associative memory networks with context-dependent neuronal and synaptic gating. bioRxiv. Cold Spring Harbor Laboratory.https://doi.org/10.1101/2020.01.08.898528 

Hledik, M., Barton, N. H., &; Tkadik, G. (2022). Accumulation and maintenance of information in evolution. Proceedings of the National Academy of Sciences. Proceedings of the National Academy of Sciences.https://doi.org/10.1073/pnas.2123152119 

Mondelli, M., &; Venkataramanan, R. (2022). Approximate message passing with spectral initialization for generalized linear models. Journal of Statistical Mechanics: Theory and Experiment. IOP Publishing.https://doi.org/10.1088/1742-5468/ac9828 

Biswas, R., Cultrera di Montesano, S., Edelsbrunner, H., &; Saghafian, M. (n.d.). A window to the persistence of 1D maps. I: Geometric characterization of critical point pairs. LIPIcs. Schloss Dagstuhl - Leibniz-Zentrum für Informatik.

Biswas, R., Cultrera di Montesano, S., Edelsbrunner, H., &; Saghafian, M. (n.d.). Depth in arrangements: Dehn–Sommerville–Euler relations with applications. Leibniz International Proceedings on Mathematics. Schloss Dagstuhl - Leibniz Zentrum für Informatik.

Biswas, R., Cultrera di Montesano, S., Draganov, O., Edelsbrunner, H., &; Saghafian, M. (n.d.). On the size of chromatic Delaunay mosaics. arXiv.

Hensel, S., &; Marveggio, A. (2022). Weak-strong uniqueness for the Navier–Stokes equation for two fluids with ninety degree contact angle and same viscosities. Journal of Mathematical Fluid Mechanics. Springer Nature.https://doi.org/10.1007/s00021-022-00722-2 

Fischer, J. L., &; Marveggio, A. (n.d.). Quantitative convergence of the vectorial Allen-Cahn equation towards multiphase mean curvature flow. arXiv.https://doi.org/10.48550/ARXIV.2203.17143 

Barton, N. H., &; Olusanya, O. O. (2022). The response of a metapopulation to a changing environment. Philosophical Transactions of the Royal Society B: Biological Sciences. The Royal Society.https://doi.org/10.1098/rstb.2021.0009 

Sachdeva, H., Olusanya, O. O., &; Barton, N. H. (2022). Genetic load and extinction in peripheral populations: The roles of migration, drift and demographic stochasticity. Philosophical Transactions of the Royal Society B. The Royal Society.https://doi.org/10.1098/rstb.2021.0010 

Arslan, F. N. (2022). Remodeling of E-cadherin-mediated contacts via cortical  flows. Institute of Science and Technology Austria.https://doi.org/10.15479/at:ista:12153 

Gisonno, R. A., Masson, T., Ramella, N. A., Barrera, E. E., Romanowski, V., &; Tricerri, M. A. (2022). Evolutionary and structural constraints influencing apolipoprotein AI amyloid behavior. Proteins: Structure, Function, and Bioinformatics. Wiley.https://doi.org/10.1002/prot.26217 

Kim, O. (2022). Nanoarchitecture of hippocampal mossy fiber-C pyramidal neuron synapses. Institute of Science and Technology Austria.https://doi.org/10.15479/at:ista:11196 

Metzler, S. (2022). Pathogen-mediated sexual selection and immunization in ant colonies. Institute of Science and Technology Austria.https://doi.org/10.15479/AT:ISTA:10727 

Artner, C. (2022). Modulation of auxin transport via ZF proteins adjust plant response to high ambient temperature. Institute of Science and Technology Austria.https://doi.org/10.15479/at:ista:11879 

Kravchuk, V., Petrova, O., Kampjut, D., Wojciechowska-Bason, A., Breese, Z., &; Sazanov, L. A. (2022). A universal coupling mechanism of respiratory complex I. Nature. Springer Nature.https://doi.org/10.1038/s41586-022-05199-7 

Jevtic, M. (2022). Contextual fear learning induced changes in AMPA receptor subtypes along the proximodistal axis in dorsal hippocampus. Institute of Science and Technology Austria.https://doi.org/10.15479/at:ista:11393 

Redchenko, E. (2022). Controllable states of superconducting Qubit ensembles. Institute of Science and Technology Austria.https://doi.org/10.15479/at:ista:12132 

Nardin, M. (2022). On the encoding, transfer, and consolidation of spatial memories. Institute of Science and Technology Austria.https://doi.org/10.15479/at:ista:11932 

Colombo, G., Cubero, R. J., Kanari, L., Venturino, A., Schulz, R., Scolamiero, M.,https://doi.org/10.1038/s41593-022-01167-6__Siegert, S. (2022). A tool for mapping microglial morphology, morphOMICs, reveals brain-region and sex-dependent phenotypes. Nature Neuroscience. Springer Nature.https://doi.org/10.1038/s41593-022-01167-6 

Colombo, G. (2022). MorphOMICs, a tool for mapping microglial morphology, reveals brain region- and sex-dependent phenotypes. Institute of Science and Technology Austria.https://doi.org/10.15479/at:ista:12378 

Goudarzi, S., Sharif, M., &; Karimipour, F. (2022). A context-aware dimension reduction framework for trajectory and health signal analyses. Journal of Ambient Intelligence and Humanized Computing. Springer Nature.https://doi.org/10.1007/s12652-021-03569-z 

Belohlavy, S. (2022). The genetic basis of complex traits studied via analysis of evolve and resequence experiments. Institute of Science and Technology Austria.https://doi.org/10.15479/at:ista:11388 

Gaertner, F., Reis-Rodrigues, P., de Vries, I., Hons, M., Aguilera, J., Riedl, M.,https://doi.org/10.1016/j.devcel.2021.11.024__Sixt, M. K. (2022). WASp triggers mechanosensitive actin patches to facilitate immune cell migration in dense tissues. Developmental Cell. Cell Pressf; Elsevier.https://doi.org/10.1016/j.devcel.2021.11.024 

Tasciyan, S. (2022). Role of microenvironment heterogeneity in cancer cell invasion. Institute of Science and Technology Austria.https://doi.org/10.15479/at:ista:12401 

Enshoji, M., Miyano, Y., Yoshida, N., Nagano, M., Watanabe, M., Kunihiro, M.,https://doi.org/10.1083/jcb.202112138__Toshima, J. (2022). Ep/Pan1p is a master regulator of the late stages of the endocytic pathway. Journal of Cell Biology. Rockefeller University Press.https://doi.org/10.1083/jcb.202112138