G. Ivanov and M. S. Lopushanski, “Rectifiable curves in proximally smooth sets,” Set-Valued and Variational Analysis, vol. 30, no. 2. Springer Nature, pp. 657–675, 2022.

A. Akopyan, R. Schwartz, and S. Tabachnikov, “Billiards in ellipses revisited,” European Journal of Mathematics, vol. 8, no. 4. Springer Nature, pp. 1313–1327, 2022.

D.-A. Alistarh, G. Nadiradze, and A. Sabour, “Dynamic averaging load balancing on cycles,” Algorithmica, vol. 84, no. 4. Springer Nature, pp. 1007–1029, 2022.

I. Kashkan et al., “Mutually opposing activity of PIN7 splicing isoforms is required for auxin-mediated tropic responses in Arabidopsis thaliana,” New Phytologist, vol. 233, no. 1. Wiley, pp. 329–343, 2022.

S. Sarabipour et al., “Building and sustaining mentor interactions as a mentee,” FEBS Journal, vol. 289, no. 6. Wiley, pp. 1374–1384, 2022.

T. Weighill, T. Yamauchi, and N. Zava, “Coarse infinite-dimensionality of hyperspaces of finite subsets,” European Journal of Mathematics, vol. 8, no. 1. Springer Nature, pp. 335–355, 2022.

N. P. Benedikter, P. T. Nam, M. Porta, B. Schlein, and R. Seiringer, “Bosonization of fermionic many-body dynamics,” Annales Henri Poincaré, vol. 23, no. 5. Springer Nature, pp. 1725–1764, 2022.

A. Glielmo, C. Zeni, B. Cheng, G. Csanyi, and A. Laio, “Ranking the information content of distance measures,” PNAS Nexus, vol. 1, no. 2. Oxford Academic, 2022.

E. A. Schwartz et al., “Structural rearrangements allow nucleic acid discrimination by type I-D Cascade,” Nature Communications, vol. 13. Springer Nature, 2022.

J. N. Yelland, J. P. K. Bravo, J. J. Black, D. W. Taylor, and A. W. Johnson, “A single 2-O-methylation of ribosomal RNA gates assembly of a functional ribosome,” Nature Structural &; Molecular Biology, vol. 30. Springer Nature, pp. 91–98, 2022.

J. P. K. Bravo, C. Aparicio-Maldonado, F. L. Nobrega, S. J. J. Brouns, and D. W. Taylor, “Structural basis for broad anti-phage immunity by DISARM,” Nature Communications, vol. 13. Springer Nature, 2022.

J. P. K. Bravo et al., “Structural basis for mismatch surveillance by CRISPR–Ca,” Nature, vol. 603, no. 7900. Springer Nature, pp. 343–347, 2022.

E. A. Schwartz et al., “Assembly of multi-subunit fusion proteins into the RNA-targeting type III-D CRISPR-Cas effector complex,” bioRxiv. Cold Spring Harbor Laboratory.

M. Loose, Cell scientist to watch – Martin Loose, vol. 135, no. 2. The Company of Biologists, 2022.

R. E. O’Brien, J. P. K. Bravo, D. Ramos, G. N. Hibshman, J. T. Wright, and D. W. Taylor, “Modes of inhibition used by phage anti-CRISPRs to evade type I-C Cascade,” bioRxiv. Cold Spring Harbor Laboratory, 2022.

J. P. K. Bravo, T. Hallmark, B. Naegle, C. L. Beisel, R. N. Jackson, and D. W. Taylor, “Large-scale structural rearrangements unleash indiscriminate nuclease activity of CRISPR-Ca,” bioRxiv. Cold Spring Harbor Laboratory, 2022.

J. Barbier, T. Hou, M. Mondelli, and M. Saenz, “The price of ignorance: How much does it cost to forget noise structure in low-rank matrix estimation?,” in 36th Annual Conference on Neural Information Processing Systems, New Orleans, LA, United States, 2022, vol. 35.

J. Floriach-Clark, H. Tang, and V. Willemsen, “Mosses: Accessible Systems for Plant Development Studies,” in Model Organisms in Plant Genetics, I. Y. Abdurakhmonov, Ed. Intech Open, 2022.

E. Bartocci, T. Ferrere, T. A. Henzinger, D. Nickovic, and A. O. Da Costa, “Information-flow interfaces,” in Fundamental Approaches to Software Engineering, Munich, Germany, 2022, vol. 13241, pp. 3–22.

M. Hledik, N. H. Barton, and G. Tkadik, “Accumulation and maintenance of information in evolution,” Proceedings of the National Academy of Sciences, vol. 119, no. 36. Proceedings of the National Academy of Sciences, 2022.

J. Reker, “On the operator norm of a Hermitian random matrix with correlated entries,” Random Matrices: Theory and Applications, vol. 11, no. 4. World Scientific, 2022.

T. Hausel and K. P. Rychlewicz, “Spectrum of equivariant cohomology as a fixed point scheme,” arXiv. .

R. K. Kelemen, M. N. Elkrewi, A. K. Lindholm, and B. Vicoso, “Novel patterns of expression and recruitment of new genes on the t-haplotype, a mouse selfish chromosome,” Proceedings of the Royal Society B: Biological Sciences, vol. 289, no. 1968. The Royal Society, p. 20211985, 2022.

V. Li, F. R. Diorico, and O. Hosten, “Laser frequency-offset locking at 10-Hz-level instability using hybrid electronic filters,” Physical Review Applied, vol. 17, no. 5. American Physical Society, 2022.

A. Ferber, M. A. Kwan, B. Narayanan, A. Sah, and M. Sawhney, “Friendly bisections of random graphs,” Communications of the American Mathematical Society, vol. 2, no. 10. American Mathematical Society, pp. 380–416, 2022.

S. Sack, R. A. Medina Ramos, A. Michailidis, R. Kueng, and M. Serbyn, “Avoiding barren plateaus using classical shadows,” PRX Quantum, vol. 3, no. 2. American Physical Society, 2022.

E. Kurtic et al., “The optimal BERT surgeon: Scalable and accurate second-order pruning for large language models,” in Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, Abu Dhabi, United Arab Emirates, 2022, pp. 4163–4181.

R. F. Hillary et al., “Genome and epigenomewide studies of plasma protein biomarkers for Alzheimer’s disease implicate TBCA and TREM2 in disease risk,” Alzheimer’s &; Dementia: Diagnosis, Assessment &; Disease Monitoring, vol. 14, no. 1. Wiley, 2022.

S. I. Mistakidis, G. Koutentakis, F. Grusdt, P. Schmelcher, and H. R. Sadeghpour, “Inducing spin-order with an impurity: phase diagram of the magnetic Bose polaron,” New Journal of Physics, vol. 24, no. 8. IOP Publishing, 2022.

M. M. Naqvi et al., “Protein chain collapse modulation and folding stimulation by GroEL-ES,” Science Advances, vol. 8, no. 9. American Association for the Advancement of Science, 2022.

Y. Zhang and N. Weinberger, “Mean estimation in high-dimensional binary Markov Gaussian mixture models,” in 36th Conference on Neural Information Processing Systems, New Orleans, LA, United States, 2022, vol. 35.

F. Navarrete et al., “TOPLESS promotes plant immunity by repressing auxin signaling and is targeted by the fungal effector Naked1,” Plant Communications, vol. 3, no. 2. Elsevier, 2022.

M. Lagator et al., “Predicting bacterial promoter function and evolution from random sequences,” eLife, vol. 11. eLife Sciences Publications, 2022.

M. A. Stouffer et al., “Doublecortin mutation leads to persistent defects in the Golgi apparatus and mitochondria in adult hippocampal pyramidal cells,” Neurobiology of Disease, vol. 168. Elsevier, 2022.

A. McAvoy, J. Kates-Harbeck, K. Chatterjee, and C. Hilbe, “Evolutionary instability of selfish learning in repeated games,” PNAS Nexus, vol. 1, no. 4. Oxford University Press, 2022.

A. Sethi et al., “A caspase–RhoGEF axis contributes to the cell size threshold for apoptotic death in developing Caenorhabditis elegans,” PLOS Biology, vol. 20, no. 10. Public Library of Science, 2022.

H. Zhao et al., “Co-optimization of design and fabrication plans for carpentry,” ACM Transactions on Graphics, vol. 41, no. 3. Association for Computing Machinery, 2022.

M.-C. Arnaud, H. W. Hofer, M. Hutchings, and V. Kaloshin, “Dynamische Systeme,” Oberwolfach Reports, vol. 18, no. 3. European Mathematical Society, pp. 1735–1803, 2022.

O. Aichholzer et al., “Hardness of token swapping on trees,” in 30th Annual European Symposium on Algorithms, Berlin/Potsdam, Germany, 2022, vol. 244.

Y. S. Kogure et al., “Admp regulates tail bending by controlling ventral epidermal cell polarity via phosphorylated myosin localization in Ciona,” Development, vol. 149, no. 21. The Company of Biologists, 2022.

M. Ibáñez, Y. Liu, and M. Calcabrini, “The importance of surface adsorbates in solution-processed thermoelectric materials,” in Proceedings of the nanoGe Spring Meeting 2022, Spain/Virtual, 2022.

S. Tiwari, M. X. Yeo, Z. Avarikioti, I. Salem, K. Z. Pietrzak, and S. Schmid, “Wiser: Increasing throughput in payment channel networks with transaction aggregation,” in Proceedings of the 4th ACM Conference on Advances in Financial Technologies, Cambridge, MA, United States, 2022, pp. 217–231.

E. Frantar and D.-A. Alistarh, “SPDY: Accurate pruning with speedup guarantees,” in 39th International Conference on Machine Learning, Baltimore, MD, United States, 2022, vol. 162, pp. 6726–6743.

L. Gonzalez Somermeyer et al., “Heterogeneity of the GFP fitness landscape and data-driven protein design,” eLife, vol. 11. eLife Sciences Publications, 2022.

J. L. Fischer and A. Marveggio, “Quantitative convergence of the vectorial Allen-Cahn equation towards multiphase mean curvature flow,” arXiv. .

M. J. Sammler et al., “Islaris: Verification of machine code against authoritative ISA semantics,” in Proceedings of the 43rd ACM SIGPLAN International Conference on Programming Language Design and Implementation, San Diego, CA, United States, 2022, pp. 825–840.

L. Gäher et al., “Simuliris: A separation logic framework for verifying concurrent program optimizations,” Proceedings of the ACM on Programming Languages, vol. 6, no. POPL. Association for Computing Machinery, pp. 1–31, 2022.

F. Zhu, M. J. Sammler, R. Lepigre, D. Dreyer, and D. Garg, “BFF: Foundational and automated verification of bitfield-manipulating programs,” Proceedings of the ACM on Programming Languages, vol. 6, no. OOPSL. Association for Computing Machinery, pp. 1613–1638, 2022.

R. Lepigre, M. J. Sammler, K. Memarian, R. Krebbers, D. Dreyer, and P. Sewell, “VIP: Verifying real-world C idioms with integer-pointer casts,” Proceedings of the ACM on Programming Languages, vol. 6, no. POPL. Association for Computing Machinery, pp. 1–32, 2022.

J. Davelaar and Z. Haiman, “Self-lensing flares from black hole binaries: General-relativistic ray tracing of black hole binaries,” Physical Review D, vol. 105, no. 10. American Physical Society (APS), 2022.

J. Samsing et al., “AGN as potential factories for eccentric black hole mergers,” Nature, vol. 603, no. 7900. Springer Science and Business Media LLC, pp. 237–240, 2022.

A. Shevchenko, V. Kungurtsev, and M. Mondelli, “Mean-field analysis of piecewise linear solutions for wide ReLU networks,” Journal of Machine Learning Research, vol. 23, no. 130. Journal of Machine Learning Research, pp. 1–55, 2022.

I. Markov, H. Ramezanikebrya, and D.-A. Alistarh, “CGX: Adaptive system support for communication-efficient deep learning,” in Proceedings of the 23rd ACM/IFIP International Middleware Conference, Quebec, QC, Canada, 2022, pp. 241–254.

J. Davelaar and Z. Haiman, “Self-Lensing flares from black hole binaries: Observing black hole shadows via light curve tomography,” Physical Review Letters, vol. 128, no. 19. American Physical Society, 2022.

C. Tiede, J. Zrake, A. MacFadyen, and Z. Haiman, “How binaries accrete: Hydrodynamic simulations with passive tracer particles,” The Astrophysical Journal, vol. 932, no. 1. American Astronomical Society, 2022.

A. Sabyr, Z. Haiman, J. M. Z. Matilla, and T. Lu, “Cosmological constraints from weak lensing peaks: Can halo models accurately predict peak counts?,” Physical Review D, vol. 105, no. 2. American Physical Society, 2022.

H. Hu, K. Inayoshi, Z. Haiman, W. Li, E. Quataert, and R. Kuiper, “Supercritical growth pathway to overmassive black holes at cosmic dawn: Coevolution with massive quasar hosts,” The Astrophysical Journal, vol. 935, no. 2. American Astronomical Society, 2022.

T. Lu, Z. Haiman, and J. M. Zorrilla Matilla, “Simultaneously constraining cosmology and baryonic physics via deep learning from weak lensing,” Monthly Notices of the Royal Astronomical Society, vol. 511, no. 1. Oxford University Press, pp. 1518–1528, 2022.

Y. Yang et al., “Tidal disruption on stellar-mass black holes in active galactic nuclei,” The Astrophysical Journal Letters, vol. 933, no. 2. American Astronomical Society, 2022.

H. Tagawa, S. S. Kimura, Z. Haiman, R. Perna, H. Tanaka, and I. Bartos, “Can stellar-mass black hole growth disrupt disks of active galactic nuclei? The role of mechanical feedback,” The Astrophysical Journal, vol. 927, no. 1. American Astronomical Society, 2022.

D. J. D’Orazio, Z. Haiman, J. Levin, J. Samsing, and A. Vigna-Gómez, “Multimessenger constraints on magnetic fields in merging black hole–neutron star binaries,” The Astrophysical Journal, vol. 927, no. 1. American Astronomical Society, 2022.

M. T. Scoggins, Z. Haiman, and J. H. Wise, “How long do high redshift massive black hole seeds remain outliers in black hole versus host galaxy relations?,” Monthly Notices of the Royal Astronomical Society, vol. 519, no. 2. Oxford University Press, pp. 2155–2168, 2022.

L. I. Gurvits et al., “The science case and challenges of space-borne sub-millimeter interferometry,” Acta Astronautica, vol. 196. Elsevier BV, pp. 314–333, 2022.

J. R. Westernacher-Schneider, J. Zrake, A. MacFadyen, and Z. Haiman, “Multiband light curves from eccentric accreting supermassive black hole binaries,” Physical Review D, vol. 106, no. 10. American Physical Society, 2022.

A. De Rosa et al., “The X-ray view of optically selected dual AGN,” Monthly Notices of the Royal Astronomical Society, vol. 519, no. 4. Oxford University Press, pp. 5149–5160, 2022.

D. Toyouchi, K. Inayoshi, W. Li, Z. Haiman, and R. Kuiper, “Radiative feedback on supermassive star formation: the massive end of the population III initial mass function,” Monthly Notices of the Royal Astronomical Society, vol. 518, no. 2. Oxford University Press, pp. 1601–1616, 2022.

J. Alwen et al., “CoCoA: Concurrent continuous group key agreement,” in Advances in Cryptology – EUROCRYPT 2022, Trondheim, Norway, 2022, vol. 13276, pp. 815–844.

E. Frantar, S. P. Singh, and D.-A. Alistarh, “Optimal brain compression: A framework for accurate post-training quantization and pruning,” in 36th Conference on Neural Information Processing Systems, New Orleans, LA, United States, 2022, vol. 35.

O. Kim, “Nanoarchitecture of hippocampal mossy fiber-C pyramidal neuron synapses,” Institute of Science and Technology Austria, 2022.

S. Metzler, “Pathogen-mediated sexual selection and immunization in ant colonies,” Institute of Science and Technology Austria, 2022.

C. Artner, “Modulation of auxin transport via ZF proteins adjust plant response to high ambient temperature,” Institute of Science and Technology Austria, 2022.

M. Jevtic, “Contextual fear learning induced changes in AMPA receptor subtypes along the proximodistal axis in dorsal hippocampus,” Institute of Science and Technology Austria, 2022.

V. Kravchuk, O. Petrova, D. Kampjut, A. Wojciechowska-Bason, Z. Breese, and L. A. Sazanov, “A universal coupling mechanism of respiratory complex I,” Nature, vol. 609, no. 7928. Springer Nature, pp. 808–814, 2022.

E. Redchenko, “Controllable states of superconducting Qubit ensembles,” Institute of Science and Technology Austria, 2022.

M. Nardin, “On the encoding, transfer, and consolidation of spatial memories,” Institute of Science and Technology Austria, 2022.

G. Colombo et al., “A tool for mapping microglial morphology, morphOMICs, reveals brain-region and sex-dependent phenotypes,” Nature Neuroscience, vol. 25, no. 10. Springer Nature, pp. 1379–1393, 2022.

G. Colombo, “MorphOMICs, a tool for mapping microglial morphology, reveals brain region- and sex-dependent phenotypes,” Institute of Science and Technology Austria, 2022.

S. Goudarzi, M. Sharif, and F. Karimipour, “A context-aware dimension reduction framework for trajectory and health signal analyses,” Journal of Ambient Intelligence and Humanized Computing, vol. 13. Springer Nature, pp. 2621–2635, 2022.

F. Gaertner et al., “WASp triggers mechanosensitive actin patches to facilitate immune cell migration in dense tissues,” Developmental Cell, vol. 57, no. 1. Cell Pressf; Elsevier, p. 47–62.e9, 2022.

S. Belohlavy, “The genetic basis of complex traits studied via analysis of evolve and resequence experiments,” Institute of Science and Technology Austria, 2022.

S. Tasciyan, “Role of microenvironment heterogeneity in cancer cell invasion,” Institute of Science and Technology Austria, 2022.

M. Enshoji et al., “Ep/Pan1p is a master regulator of the late stages of the endocytic pathway,” Journal of Cell Biology, vol. 221, no. 10. Rockefeller University Press, 2022.

V. Belyaeva et al., “Fos regulates macrophage infiltration against surrounding tissue resistance by a cortical actin-based mechanism in Drosophila,” PLoS Biology, vol. 20, no. 1. Public Library of Science, p. e3001494, 2022.

S. Wachner, “Transcriptional regulation by Dfos and BMP-signaling support tissue invasion of Drosophila immune cells,” Institute of Science and Technology Austria, 2022.

C. E. Villa et al., “CH haploinsufficiency links autism to transient alterations in excitatory and inhibitory trajectories,” Cell Reports, vol. 39, no. 1. Elsevier, 2022.

C. Dotter, “Transcriptional consequences of mutations in genes associated with Autism Spectrum Disorder,” Institute of Science and Technology Austria, 2022.

M. N. Elkrewi et al., “ZW sex-chromosome evolution and contagious parthenogenesis in Artemia brine shrimp,” Genetics, vol. 222, no. 2. Oxford University Press, 2022.

M. N. Elkrewi, “Data from Elkrewi, Khauratovich, Toups et al. 2022, ‘ZW sex-chromosome evolution and contagious parthenogenesis in Artemia brine shrimp.’” Institute of Science and Technology Austria, 2022.

Y. Shehu and O. S. Iyiola, “Weak convergence for variational inequalities with inertial-type method,” Applicable Analysis, vol. 101, no. 1. Taylor &; Francis, pp. 192–216, 2022.

P. Velicky et al., “Saturated reconstruction of living brain tissue,” bioRxiv. Cold Spring Harbor Laboratory.

J. M. Michalska et al., “Uncovering brain tissue architecture across scales with super-resolution light microscopy,” bioRxiv. Cold Spring Harbor Laboratory.

I. Karatzas, J. Maas, and W. Schachermayer, “Trajectorial dissipation and gradient flow for the relative entropy in Markov chains,” Communications in Information and Systems, vol. 21, no. 4. International Press, pp. 481–536, 2021.

I. R. Jecker, N. Mazzocchi, and P. Wolf, “Decomposing permutation automata,” in 32nd International Conference on Concurrency Theory, Paris, France, 2021, vol. 203.

K. Chatterjee, M. H. Henzinger, S. S. Kale, and A. Svozil, “Faster algorithms for bounded liveness in graphs and game graphs,” in 48th International Colloquium on Automata, Languages, and Programming, Glasgow, Scotland, 2021, vol. 198.

H. Adams, H. Kourimska, T. Heiss, S. Percival, and L. Ziegelmeier, “How to tutorial-a-thon,” Notices of the American Mathematical Society, vol. 68, no. 9. American Mathematical Society, pp. 1511–1514, 2021.

D. G. Harris, F. Iliopoulos, and V. Kolmogorov, “A new notion of commutativity for the algorithmic Lovász Local Lemma,” in Approximation, Randomization, and Combinatorial Optimization. Algorithms and Techniques, Virtual, 2021, vol. 207.

S. Guha, I. R. Jecker, K. Lehtinen, and M. Zimmermann, “A bit of nondeterminism makes pushdown automata expressive and succinct,” in 46th International Symposium on Mathematical Foundations of Computer Science, Tallinn, Estonia, 2021, vol. 202.

M. Nardin, K. Käfer, and J. L. Csicsvari, “The generalized spatial representation in the prefrontal cortex is inherited from the hippocampus,” bioRxiv. Cold Spring Harbor Laboratory.

I. Palaia, A. Paraschiv, V. Debets, C. Storm, and A. Sari, “Durotaxis of passive nanoparticles on elastic membranes,” ACS Nano. American Chemical Society, 2021.

L. Harker-Kirschneck et al., “Physical mechanisms of ESCRT-III-driven cell division in archaea,” bioRxiv. Cold Spring Harbor Laboratory.