Aarhus Universitets segl

Publikationer

Følg med i de senest publicerede videnskabelige artikler fra Faculty of Natural Sciences. Oversigten viser fakultetets publikationer med de nyeste øverst.

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Zhou, Z., Man, X., Wang, S., Wang, X., Li, W., Chen, Y., Yuan, Z. & Guo, E. (2022). Temporal Partitioning of Fungal Sporophores in a Temperate Deciduous Broad-Leaved Forest. Diversity, 14(6), Artikel 483. https://doi.org/10.3390/d14060483
Zhou, Y., Zhan, X., Jin, J., Zhou, L., Bergman, J., Li, X., Rousselle, M. M. C., Belles, M. R., Zhao, L., Fang, M., Chen, J., Fang, Q., Kuderna, L., Marques-Bonet, T., Kitayama, H., Hayakawa, T., Yao, Y. G., Yang, H., Cooper, D. N. ... Zhang, G. (2023). Eighty million years of rapid evolution of the primate Y chromosome. Nature Ecology & Evolution, 7(7), 1114-1130. https://doi.org/10.1038/s41559-022-01974-x
Zhou, P., Ye, S., Xie, L., Krauss, K. W., Pei, L., Chapman, S. K., Brix, H., Laws, E. A., Yuan, H., Yang, S., Ding, X. & Xie, S. (2023). Tidal restriction likely has greater impact on the carbon sink of coastal wetland than climate warming and invasive plant. Plant and Soil, 492(1-2), 135-156. https://doi.org/10.1007/s11104-023-06160-x
Zhou, J., Zhang, J., Iversen, B. B. & Shi, X. (2024). Advanced thermoelectrics, What’s Next? Next Energy, 4, Artikel 100147. https://doi.org/10.1016/j.nxener.2024.100147
Zhou, Q., Chacon, A., Pan, J. & Johal, W. (2025). Assisting MoCap-Based Teleoperation of Robot Arm Using Augmented Reality Visualisations. I HRI 2025 - Proceedings of the 2025 ACM/IEEE International Conference on Human-Robot Interaction (s. 1765-1769). IEEE Computer Society Press. https://doi.org/10.1109/HRI61500.2025.10974111
Zhou, Z. (2024). Organic Petrology and Geochemical Insights into the Lark Formation, Danish North Sea. [Ph.d.-afhandling, Aarhus Universitet]. Aarhus University.
Zhou, S. Q., Yu, Z. W., Wu, W. B., Yang, W. J., Zhang, Y. J., Hao, Y. Y., Yuan, Q., Xu, D. F., Hu, J. Y. & Zhao, B. (2025). Quantifying cumulative cooling threshold of greenspaces using a newly developed 3D model across global cities. Remote Sensing of Environment, 328, Artikel 114867. https://doi.org/10.1016/j.rse.2025.114867
Zhong, N., Li, L., Xu, X., Cheong, L.-Z., Li, B., Hu, S. & Zhao, X. (2009). An Efficient Binary Solvent Mixture for Monoacylglycerol Synthesis by Enzymatic Glycerolysis. Journal of the American Oil Chemists' Society, 86(8).
Zhong, N., Li, L., Xu, X., Cheong, L.-Z., Zhao, X. & Li, B. (2010). Production of diacylglycerols through low-temperature chemical glycerolysis. Food Chemistry, 122(1), 228-232.
Zhong, X., Yu, H., Zhuang, G., Li, Q., Wang, X., Zhu, Y., Liu, L., Li, X., Dong, M. & Wang, J.-G. (2014). Pyridyne cycloaddition of graphene: External active sites for oxygen reduction reaction. Journal of Materials Chemistry A, 2(4), 897-901. https://doi.org/10.1039/c3ta13449k
Zhong, N., Cheong, L. Z. & Xu, X. (2014). Strategies to obtain high content of monoacylglycerols. European Journal of Lipid Science and Technology, 116(2), 97-107. https://doi.org/10.1002/ejlt.201300336
Zhong, Z. & Mottin, D. (2023). Knowledge-augmented Graph Machine Learning for Drug Discovery: From Precision to Interpretability. I KDD 2023 - Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (s. 5841-5842). Association for Computing Machinery. https://doi.org/10.1145/3580305.3599563
Zhong, Z., Jiang, Y. & Mottin, D. (2022). On the Robustness of Post-hoc GNN Explainers to Label Noise. Afhandling præsenteret på Learning on Graphs Conference 2022.
Zhong, Z., Zhou, K. & Mottin, D. (2024). Harnessing Large Language Models as Post-hoc Correctors. I L.-W. Ku, A. Martins & V. Srikumar (red.), Findings of the Association for Computational Linguistics: ACL 2024 (s. 14559-14574). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/2024.findings-acl.867
Zhong, Z. & Mottin, D. (2024). Efficiently Predicting Mutational Effect on Homologous Proteins by Evolution Encoding. I A. Bifet, J. Davis, T. Krilavičius, M. Kull, E. Ntoutsi & I. Žliobaitė (red.), Machine Learning and Knowledge Discovery in Databases. Research Track: European Conference, ECML PKDD 2024, Vilnius, Lithuania, September 9–13, 2024, Proceedings, Part VII (s. 399-415). Springer Science+Business Media. https://doi.org/10.1007/978-3-031-70368-3_24
Zhong, Z., Larsen, S. S.-Y., Guo, H., Tang, T., Zhou, K. & Mottin, D. (2025). Automatic Annotation Augmentation Boosts Translation between Molecules and Natural Language. I L. Chiruzzo, A. Ritter & L. Wang (red.), 2025 Annual Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Proceedings of the Conference Findings, NAACL 2025 (s. 6192-6209). Association for Computational Linguistics. https://doi.org/10.18653/v1/2025.findings-naacl.345
Zhivotovsky, L. A., Feldman, M. W. & Christiansen, F. (1994). Evolution of recombination among multiple selected loci: A generalized reduction principle. Proceedings of the National Academy of Sciences (PNAS), 91, 1079–1083.
Zhivotovskiy, N., Larsen, K. G. & Montasser, O. (2024). Derandomizing Multi-Distribution Learning. Abstract fra NeurIPS'24: 38th Conference on Neural Information Processing Systems, Vancouver, Canada.
Zhirnov, A., Nam, E., Badun, G., Romanyuk, A., Ezhov, A., Melik-Nubarov, N. & Grozdova, I. (2018). Molecular Targets of the Hydrophobic Block of Pluronics in Cells: a Photo Affinity Labelling Approach. Pharmaceutical Research, 35(11), Artikel 205. https://doi.org/10.1007/s11095-018-2484-4
Zheng, T., Brittain, T., Watmough, N. J. & Weber, R. E. (1999). The role of amino acid alpha38 in the control of oxygen binding to human adult and embryonic haemoglobin Portland. Biochemical Journal, 343 Pt 3, 681-5.
Zheng, B., Chen, Y., Wang, Z., Qi, F., Huang, Z., Hao, X., Li, P., Zhang, W. & Li, Y. (2016). Vertically oriented few-layered HfS2 nanosheets: growth mechanism and optical properties. 2D materials, 3(3), Artikel 035024. https://doi.org/10.1088/2053-1583/3/3/035024
Zheng, B., Wang, Z., Qi, F., Wang, X., Yu, B., Zhang, W. & Chen, Y. (2018). CVD growth of large-area and high-quality HfS2 nanoforest on diverse substrates. Applied Surface Science, 435, 563-567. https://doi.org/10.1016/j.apsusc.2017.11.060
Zheng, J., Richardson, T. G., Millard, L. A. C., Hemani, G., Elsworth, B. L., Raistrick, C. A., Vilhjalmsson, B., Neale, B. M., Haycock, P. C., Smith, G. D. & Gaunt, T. R. (2018). PhenoSpD: an integrated toolkit for phenotypic correlation estimation and multiple testing correction using GWAS summary statistics. GigaScience, 7(8), 1-10. https://doi.org/10.1093/gigascience/giy090