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de Vries, D. H., Geise, M., Maukner, A. C., Kramarz, P., Deogan, C., & Kinsman, J. (2024). Developing a European framework for the prevention of communicable diseases: three points for attention. Eurosurveillance, 29(43), Article 2400306. https://doi.org/10.2807/1560-7917.ES.2024.29.43.2400306 -
Eradus, M., Leijten, P., Melendez-Torres, G. J., Foo, X. Q., & Oliver, B. R. (2024). Parental differential warmth, hostility, and sibling differences in internalizing and externalizing behavior problems: A Meta-Analysis. Journal of Family Psychology, 38(3), 387-399. https://doi.org/10.1037/fam0001194 -
Veltman, M. E., van Keulen, J., & Voogt, J. M. (2024). Teacher strategies that foster students’ boundary-crossing expertise when addressing problems with wicked tendencies. Journal of Vocational Education & Training, 76(4), 963-990. https://doi.org/10.1080/13636820.2022.2138509 -
Sharma, S., Rigutto, M. S., Zuidema, E., Agarwal, U., Baur, R., Dubbeldam, D., & Vlugt, T. J. H. (2024). Understanding shape selectivity effects of hydroisomerization using a reaction equilibrium model. Journal of Chemical Physics, 160(21), Article 214708. https://doi.org/10.1063/5.0209210 -
Soni, S., Saeed, A., & Asano, Y. M. (2024). Federated Learning with a Single Shared Image. In Proceedings : 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops: CVPRW 2024 : Seattle, Washington, USA, 16-22 June 2024 (pp. 7782-7790). IEEE Computer Society. https://doi.org/10.48550/arXiv.2406.12658, https://doi.org/10.1109/CVPRW63382.2024.00774 -
Cheng, M. C. N., Coman, I., Passaro, D., & Sgroi, G. (2024). Quantum Modular ẐG-Invariants. Symmetry, Integrability and Geometry: Methods and Applications (SIGMA), 20, Article 18. https://doi.org/10.3842/SIGMA.2024.018 -
Dorkenwald, M., Barazani, N., Snoek, C. G. M., & Asano, Y. M. (2024). PIN: Positional Insert Unlocks Object Localisation Abilities in VLMs. In 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition: CVPR 2024 : Seattle, Washington, USA, 16-22 June 2024 : proceedings (pp. 13548-13558). IEEE Computer Society. https://doi.org/10.48550/arXiv.2402.08657, https://doi.org/10.1109/CVPR52733.2024.01286 -
Tigunova, A., Haratinezhad Torbati, G., Yates, A., & Weikum, G. (2024). STAR: Sparse Text Approach for Recommendation. In CIKM '24: Proceedings of the 33rd ACM International Conference on Information and Knowledge Management : October, 21-25. 2024, Boise, ID, USA (pp. 4086–4090). Association for Computing Machinery. https://doi.org/10.1145/3627673.3679999
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