The UEL Research Repository preserves and disseminates open access publications, research data, and theses created by members of the University of East London. It exists as an online publication platform that offers free permanent access to anyone. For more information about the repository and how to deposit your research contact: repository@uel.ac.uk

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Effective Teachers of Multilingual Learners: A Mixed-Method Study of UK and US Critical Sociocultural Teaching Practices
Flynn, N., Teemant, A., Mitchell Viesca, K. and Perumal, R. 2023. Effective Teachers of Multilingual Learners: A Mixed-Method Study of UK and US Critical Sociocultural Teaching Practices. TESOL Quarterly. 58 (1), pp. 195-221. https://doi.org/10.1002/tesq.3224
Intragastric balloons for obesity: critical review of device design, efficacy, tolerability, and unmet clinical needs
Ameen, S. and Merchant, H. A. 2023. Intragastric balloons for obesity: critical review of device design, efficacy, tolerability, and unmet clinical needs. Expert Review of Medical Devices. 21 (1-2), pp. 37-54. https://doi.org/10.1080/17434440.2023.2289691
Verrucae pedis in children with juvenile idiopathic arthritis and other paediatric rheumatic diseases: a cross-sectional study
Ferrari, J. 2022. Verrucae pedis in children with juvenile idiopathic arthritis and other paediatric rheumatic diseases: a cross-sectional study. Journal of Foot and Ankle Research. 15 (Art. 29). https://doi.org/10.1186/s13047-022-00526-7
Closing the diagnostic gap: Liquid biopsy potential to transform ovarian cancer outcomes in sub-Saharan Africa
Kokori, E., Olatunji, G., Ogieuhi, I. J., Muogbo, I., Isarinade, D., Ukoaka, B., Ajayi, I., Ezenwoba, C., Samuel, O., Nurudeen-Busari, H., Olawade, D. B. and Aderinto, N. 2024. Closing the diagnostic gap: Liquid biopsy potential to transform ovarian cancer outcomes in sub-Saharan Africa. Medicine. 105 (3), p. e37154. https://doi.org/10.1097/MD.0000000000037154
Multi-site benchmark classification of major depressive disorder using machine learning on cortical and subcortical measures
Belov, V., Erwin-Grabner, T., Aghajani, M., Aleman, A., Amod, A. R., Basgoze, Z., Benedetti, F., Besteher, B., Bülow, R., Ching, C. R. K., Connolly, C. G., Cullen, K., Davey, C. G., Dima, D., Dols, A., Evans, J. W., Fu, C. H. Y., Saffet Gonul, A., Gotlib, I. H., Grabe, H. J., Groenewold, N., Paul Hamilton, J. Harrison, B. J., Ho. T. C., Mwangi, B., Jaworska, N., Jahanshad, N., Klimes-Dougan, B., Koopowitz, S-M., Lancaster, T., Li, M., Linden, D. E. J., MacMaster, F. P., Mehler, D. M. A., Melloni, E., Mueller, B. A., Ojha, A., Oudega, M. L., Penninx, B. W. J. H., Poletti, S., Pomarol-Clotet, E., Portella, M. J., Pozzi, E., Reneman, L. Sacchet, M. D., Sämann, P. G., Schrantee, A., Sim, K., Soares, J. C., Stein, D. J., Thomopoulos, S. I., Uyar-Demir, A., van der Wee, N. J. A., van der Werff, S. J. A., Völzke, H., Whittle, S., Wittfield, K., Wright, M. J., Wu, M-J., Yang, T. T., Zarate, C., Veltman, D. J., Schmaal, L., Thompson, P. M., Goya-Maldonado, R. and the ENIGMA Major Depressive Disorder working group 2024. Multi-site benchmark classification of major depressive disorder using machine learning on cortical and subcortical measures. Scientific Reports. 14 (Art. 1084). https://doi.org/10.1038/s41598-023-47934-8