Search results
Filter results
-
Full text
-
Document type
-
Organisation
Results: 218,660
Number of items: 218,660
-
Lan, S., Sier, W., & Camenisch, A. (2022). Precarious whiteness in pandemic times in China. Asian Anthropology, 21(3), 161-170. https://doi.org/10.1080/1683478X.2022.2099081 -
Keuken, M. C., Liebrand, L. C., Bazin, P.-L., Alkemade, A., van Berendonk, N., Groot, J. M., Isherwood, S. J. S., Kemp, S., Lute, N., Mulder, M. J., Trutti, A. C., Caan, M. W. A., & Forstmann, B. U. (2022). A high-resolution multi-shell 3T diffusion magnetic resonance imaging dataset as part of the Amsterdam Ultra-high field adult lifespan database (AHEAD). Data in Brief, 42, Article 108086. https://doi.org/10.1016/j.dib.2022.108086 -
van Gemert, B., Cokart, R., Esselink, L., de Meulder, M., Sijm, N., & Roelofsen, F. (2022). First Steps Towards a Signing Avatar for Railway Travel Announcements in the Netherlands. In E. Efthimiou, S.-E. Fotinea, T. Hanke, J. C. McDonald, D. Shterionov, & R. Wolfe (Eds.), Proceedings : 7th Workshop on Sign Language Translation and Avatar Technology: The Junction of the Visual and the Textual: Challenges and Perspectives (SLTAT 7): LREC 2022 Workshop : Language Resources and Evaluation Conference, 24 June 2022 (pp. 109-116). European Language Resources Association. https://aclanthology.org/2022.sltat-1.17 -
Boxma, O. J., & Mandjes, M. R. H. (2022). Queueing and risk models with dependencies. Queueing Systems, 102(1-2), 69-86. https://doi.org/10.1007/s11134-022-09863-7 -
De Vuyst, S., Geerts, E., & Rahbari, L. (2022). Gender, Sexuality, and Embodiment in Digital Spheres: Connecting Intersectionality and Digitality. Journal of Digital Social Research, 4(3), 1-9. https://doi.org/10.33621/jdsr.v4i3.150 -
Juodis, A. (2022). A regularization approach to common correlated effects estimation. Journal of Applied Econometrics, 37(4), 788-810. https://doi.org/10.1002/jae.2899 -
Kooijmans, R., Langdon, P. E., & Moonen, X. (2022). Assisting children and youth with completing self-report instruments introduces bias: A mixed-method study that includes children and young people's views. Methods in Psychology, 7, Article 100102. https://doi.org/10.1016/j.metip.2022.100102
Page 2456 of 21866