NAGPKin: Nucleation-and-growth parameters from the kinetics of protein phase separation
Z. Sárkány, F. Figueiredo, S. Macedo-Ribeiro, P.M. Martins, Molecular Biology of the Cell 35 (2024).

Tunable magnetoelectronic properties in Bi3+ substituted YCrO3
S.K. Ray, A. Pati, P. Sahoo, A.K. Sahoo, S. Singh, T. Takeuchi, S. Dash, Physica B: Condensed Matter 685 (2024).

Novel dihydropteridinone derivatives as potent inhibitors of the understudied human kinases vaccinia-related kinase 1 and casein kinase 1;4/;5
F.H. de Souza Gama, L.A. Dutra, M. Hawgood, C.V. dos Reis, R.A.M. Serafim, M.A. Ferreira, B.V.M. Teodoro, J.E. Takarada, A.S. Santiago, D.-I. Balourdas, A.-S. Nilsson, B. Urien, V.M. Almeida, C. Gileadi, P.Z. Ramos, A.P. Testa Salmazo, S.N.S. Vasconcelos, M.R. Cunha, S. Mueller, S. Knapp, K.B. Massirer, J.M. Elkins, O. Gileadi, A. Mascarello, B.B.L.G. Lemmens, C.R.W. Guimarães, H. Azevedo, R.M. Couñago, Journal of Medicinal Chemistry 67 (2024) 8609–8629.

Analysis of SMA/5 target genes in a sea anemone reveals ZSWIM4-6 as a novel BMP signaling modulator
P. Knabl, A. Schauer, A.P. Pomreinke, B. Zimmermann, K.W. Rogers, D. capek, P. Müller, G. Genikhovich, ELife 13 (2024).

Seascape genetic study on Laminaria digitata underscores the critical role of sampling schemes
L. Fouqueau, L. Reynes, F. Tempera, T. Bajjouk, A. Blanfuné, C. Chevalier, M. Laurans, S. Mauger, M. Sourisseau, J. Assis, L. Lévêque, M. Valero, Marine Ecology Progress Series 740 (2024) 23–42.

Asymptotic Analysis of the Weakly Interacting Bose Gas: A Collection of Recent Results and Applications
L. Bossmann, N. Leopold, D.J. Mitrouskas, S. Petrat, in:, A. Bassi, S. Goldstein, R. Tumulka, N. Zanghi (Eds.), Physics and the Nature of Reality, Springer Nature, Cham, 2024, pp. 307–321.

Toward the integration of speciation research
S. Stankowski, A.D. Cutter, I. Satokangas, B.A. Lerch, J. Rolland, C.M. Smadja, J.C. Segami Marzal, C.R. Cooney, P.G.D. Feulner, F.M.C.B. Domingos, H.L. North, R. Yamaguchi, R.K. Butlin, J.B.W. Wolf, J. Coughlan, P. Heidbreder, R. Hernández-Gutiérrez, K.B. Barnard-Kubow, D. Peede, L. Rancilhac, R.B. Salvador, K.A. Thompson, E.A. Stacy, L.C. Moyle, M.D. Garlovsky, A. Maulana, A. Kantelinen, N.I. Cacho, H. Schneemann, M. Domínguez, E.B. Dopman, K. Lohse, S.J. Rometsch, A.A. Comeault, R.M. Merrill, E.S.C. Scordato, S. Singhal, V. Pärssinen, A.C.R. Lackey, S. Kumar, J.I. Meier, N.H. Barton, C. Fraisse, M. Ravinet, J. Kulmuni, Evolutionary Journal of the Linnean Society 3 (2024).

Many-body quantum systems
C. Hainzl, B. Schlein, R. Seiringer, S. Warzel, Oberwolfach Reports 20 (2024) 2247–2302.

High-performance thermoelectric cooler fabricated vith extrusion-based 3D printing materials
M. Ibáñez, S. Xu, S. Horta, A.Q. Lawal, in:, Proceedings of the Materials for Sustainable Development Conference, Fundacio de la communitat Valenciana Scito, 2024.

Structureactivity relationship study of neuroprotective complex I inhibitor C
O. Petrova, S.A. Trushin, T.K.O. Nguyen, M. Ostroot, M. Schellenberg, G. Johnson, E. Trushina, L.A. Sazanov, Structureactivity Relationship Study of Neuroprotective Complex I Inhibitor C, Wiley, 2024.

Arbeitsgemeinschaft: Geometry and representation theory around the P=W conjecture
T. Hausel, D. Maulik, A. Mellit, O. Schiffmann, J. Shen, Oberwolfach Reports 21 (2024) 949–1004.

Error feedback can accurately compress preconditioners
I.-V. Modoranu, A. Kalinov, E. Kurtic, E. Frantar, D.-A. Alistarh, in:, 41st International Conference on Machine Learning, ML Research Press, 2024, pp. 35910–35933.

Unsupervised concept discovery mitigates spurious correlations
R. Arefin, Y. Zhang, A. Baratin, F. Locatello, I. Rish, D. Liu, K. Kawaguchi, in:, Proceedings of the 41st International Conference on Machine Learning, ML Research Press, 2024, pp. 1672–1688.

Reinforcement learning from reachability specifications: PAC guarantees with expected conditional distance
J. Svoboda, S. Bansal, K. Chatterjee, in:, 41st International Conference on Machine Learning, ML Research Press, 2024, pp. 47331–47344.

SpQR: A sparse-quantized representation for near-lossless LLM weight compression
T. Dettmers, R.A. Svirschevski, V. Egiazarian, D. Kuznedelev, E. Frantar, S. Ashkboos, A. Borzunov, T. Hoefler, D.-A. Alistarh, in:, 12th International Conference on Learning Representations, OpenReview, 2024.

The shape of word embeddings: Quantifying non-isometry with topological data analysis
O. Draganov, S. Skiena, in:, Findings of the Association for Computational Linguistics: EMNLP 2024, Association for Computational Linguistics, 2024, pp. 12080–12099.

Chromatic topological data analysis
S. Cultrera di Montesano, O. Draganov, H. Edelsbrunner, M. Saghafian, ArXiv (n.d.).

Multi-view causal representation learning with partial observability
D. Yao, D. Xu, S. Lachapelle, S. Magliacane, P. Taslakian, G. Martius, J. von Kügelgen, F. Locatello, in:, 12th International Conference on Learning Representations, Curran Associates, 2024.

Optimal Transport on Quantum Structures
J. Maas, S.A.E. Rademacher, T. Titkos, D. Virosztek, eds., Optimal Transport on Quantum Structures, Springer Nature, Cham, 2024.

Can LLMs separate instructions from data? And what do we even mean by that?
E. Zverev, S. Abdelnabi, S. Tabesh, M. Fritz, C. Lampert, ArXiv (2024).