V. Aksenov, D.-A. Alistarh, A. Drozdova, and A. Mohtashami, “The splay-list: A distribution-adaptive concurrent skip-list,” Distributed Computing, vol. 36. Springer Nature, pp. 395–418, 2023.

D. Shipilina, A. Pal, S. Stankowski, Y. F. Chan, and N. H. Barton, “On the origin and structure of haplotype blocks,” Molecular Ecology, vol. 32, no. 6. Wiley, pp. 1441–1457, 2023.

D. F. Gauto et al., “Aromatic ring flips in differently packed ubiquitin protein crystals from MAS NMR and MD,” Journal of Structural Biology: X, vol. 7. Elsevier, 2023.

M. Loose, A. Auer, G. Brognara, H. R. Budiman, L. M. Kowalski, and I. Matijevic, “In vitro reconstitution of small GTPase regulation,” FEBS Letters, vol. 597, no. 6. Wiley, pp. 762–777, 2023.

M. A. Baig, D. Hendler, A. Milani, and C. Travers, “Long-lived counters with polylogarithmic amortized step complexity,” Distributed Computing, vol. 36. Springer Nature, pp. 29–43, 2023.

I. Ortiz-Leal et al., “The olfactory limbus of the red fox (Vulpes vulpes). New insights regarding a noncanonical olfactory bulb pathway,” Frontiers in Neuroanatomy, vol. 16. Frontiers, 2023.

J. Yeung, M. Florescu, P. Zeller, B. A. De Barbanson, M. D. Wellenstein, and A. Van Oudenaarden, “scChIX-seq infers dynamic relationships between histone modifications in single cells,” Nature Biotechnology, vol. 41. Springer Nature, pp. 813–823, 2023.

C. Boccato and R. Seiringer, “The Bose Gas in a box with Neumann boundary conditions,” Annales Henri Poincare, vol. 24. Springer Nature, pp. 1505–1560, 2023.

P. Koehl, A. Akopyan, and H. Edelsbrunner, “Computing the volume, surface area, mean, and Gaussian curvatures of molecules and their derivatives,” Journal of Chemical Information and Modeling, vol. 63, no. 3. American Chemical Society, pp. 973–985, 2023.

M. Stock et al., “Pathogen evasion of social immunity,” Nature Ecology and Evolution, vol. 7. Springer Nature, pp. 450–460, 2023.

A. Mrnjavac, K. Khudiakova, N. H. Barton, and B. Vicoso, “Slower-X: Reduced efficiency of selection in the early stages of X chromosome evolution,” Evolution Letters, vol. 7, no. 1. Oxford University Press, 2023.

S. Hippenmeyer, “Principles of neural stem cell lineage progression: Insights from developing cerebral cortex,” Current Opinion in Neurobiology, vol. 79, no. 4. Elsevier, 2023.

A. Agresti, N. Lindemulder, and M. Veraar, “On the trace embedding and its applications to evolution equations,” Mathematische Nachrichten, vol. 296, no. 4. Wiley, pp. 1319–1350, 2023.

M. Falconi, N. K. Leopold, D. J. Mitrouskas, and S. P. Petrat, “Bogoliubov dynamics and higher-order corrections for the regularized Nelson model,” Reviews in Mathematical Physics, vol. 35, no. 4. World Scientific Publishing, 2023.

F. Lombardi, S. Pepic, O. Shriki, G. Tkadik, and D. De Martino, “Statistical modeling of adaptive neural networks explains co-existence of avalanches and oscillations in resting human brain,” Nature Computational Science, vol. 3. Springer Nature, pp. 254–263, 2023.

G. Goranci and M. H. Henzinger, “Efficient data structures for incremental exact and approximate maximum flow,” in 50th International Colloquium on Automata, Languages, and Programming, Paderborn, Germany, 2023, vol. 261.

D. G. Harris and V. Kolmogorov, “Parameter estimation for Gibbs distributions,” in 50th International Colloquium on Automata, Languages, and Programming, Paderborn, Germany, 2023, vol. 261.

M. H. Henzinger, P. Liu, J. Vondrák, and D. W. Zheng, “Faster submodular maximization for several classes of matroids,” in 50th International Colloquium on Automata, Languages, and Programming, Paderborn, Germany, 2023, vol. 261.

N. Resch, C. Yuan, and Y. Zhang, “Zero-rate thresholds and new capacity bounds for list-decoding and list-recovery,” in 50th International Colloquium on Automata, Languages, and Programming, Paderborn, Germany, 2023, vol. 261.

E. Lepre et al., “Catalytic properties of high nitrogen content carbonaceous materials,” Angewandte Chemie International Edition, vol. 62, no. 2. Wiley, 2023.