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Kahr, B., Sburlati, S., Comes, J., Mergo, J., Noorduin, W. L., & Seto, J. (2024). Nineteenth Century Amorphous Calcium Carbonate. Crystal Growth & Design, 24(22), 9301-9312. https://doi.org/10.1021/acs.cgd.4c01066 -
Lange, K., Dominik, C., & Tielens, A. G. G. M. (2024). The need for spatially resolved observations of polycyclic aromatic hydrocarbons in protoplanetary discs. Astronomy and Astrophysics, 686, Article A181. https://doi.org/10.1051/0004-6361/202347580 -
de Bruin-Hoegée, M., van der Schans, M. J., Langenberg, J. P., & van Asten, A. C. (2024). Biomarker profiling in plants to distinguish between exposure to chlorine gas and bleach using LC-HRMS/MS and chemometrics. Forensic Science International, 358, Article 112022. https://doi.org/10.1016/j.forsciint.2024.112022 -
Islam, T., Oprescu, A., Mann, Z. Á., & Klous, S. (2024). A Framework to Optimize the Energy Cost of Securing Neural Network Inference. In IEEE Congress on Cybermatics: 2024 IEEE International Conferences on Internet of Things (iThings), IEEE Green Computing and Communications (GreenCom), IEEE Cyber, Physical and Social Computing (CPSCom), IEEE Smart Data (SmartData): Cybermatics 2024: iThings 2024 GreenCom 2024 CPSCom 2024 SmartData 2024 : 19-22 August 2024, Copenhagen, Denmark : proceedings (pp. 339–346). IEEE Computer Society. https://doi.org/10.1109/ithings-greencom-cpscom-smartdata-cybermatics62450.2024.00073 -
Brölmann, C. (2024). For the love of Structure. International Organizations Law Review, 21(3), 454-459. https://doi.org/10.1163/15723747-21030008 -
Schumacher, G., Homan, M. D., Rebasso, I., Fasching, N., Bakker, B. N., & Rooduijn, M. (2024). Establishing the validity and robustness of facial electromyography measures for political science. Politics and the Life Sciences, 43(2), 198-215. https://doi.org/10.1017/pls.2023.26 -
Zhang, Y., Doughty, H., & Snoek, C. G. M. (2024). Low-Resource Vision Challenges for Foundation Models. In 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition: CVPR 2024 : Seattle, Washington, USA, 16-22 June 2024 : proceedings (pp. 21956-21966). IEEE Computer Society. https://doi.org/10.48550/arXiv.2401.04716, https://doi.org/10.1109/CVPR52733.2024.02073 -
Kiddle, R., Törnberg, P., & Trilling, D. (2024). Network toxicity analysis: An information-theoretic approach to studying the social dynamics of online toxicity. Journal of Computational Social Science, 7(1), 305-330. https://doi.org/10.1007/s42001-023-00239-2
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