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Jin, Z., Liu, L., Yang, Q., Jia, X., Tao, S., Guo, Y., Ghosh, R., Wang, S., Zhu, Q., Jung, M., Guan, K., Kumar, V., Reichstein, M., Fang, J. & Luo, Y. (2026). Knowledge-Guided Machine Learning for Global Change Ecology Research. Global Change Biology, 32(2), Article e70742. https://doi.org/10.1111/gcb.70742

Vitosyte, M., Simoliunas, E., Alksne, M., Didziokas, M., Martínez-Cáceres, C. M., Abenza, V. M., Liudvinaitis, M., Proskute, D., Rutkunas, V. & Gendviliene, I. (2026). Large-Pore 3D-Printed PLA/HA/CDHA Gyroid Scaffolds for Bone Regeneration: Effect of Unit-Cell Period in a Rabbit Calvarial Defect Model. Journal of Biomedical Materials Research - Part B Applied Biomaterials, 114(7), Article e70128. https://doi.org/10.1002/jbm.b.70128

Schick, A., San Jose Gracia, M., Christian D. Hammershøj, H., Broddefalk, J., Martínez-Pardo, P., Enemærke, V. J., von Sydow, L., Holub, A., Gopalakrishnan, R., Mühlfenzl, K. S., Skrydstrup, T. & Elmore, C. S. (2026). Late-stage generation of ¹⁴C/³H-radiolabeled lysine residues via hydroformylation of peptides. Nature Communications, 17(1), Article 5307. https://doi.org/10.1038/s41467-026-74115-8

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