Welcome to Middlesex University's institutional repository for research material including: journal articles, conference papers, practice research, art works and exhibitions, books and book chapters, doctoral theses and datasets. The repository provides full text access where permitted, and full citation details where restrictions apply. Please contact the Research Support Team (repository@mdx.ac.uk) with any related queries.

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When nationalism meets environmentalism: an inverted U-curve linking national sentiment to carbon emission intensity through an institutional lens
Gao, L., Zhang, D., Xia, M., Cai, H. and Yu, X. 2026. When nationalism meets environmentalism: an inverted U-curve linking national sentiment to carbon emission intensity through an institutional lens. Humanities & Social Sciences Communications. https://doi.org/10.1057/s41599-026-08968-1
Water footprint of globe artichoke: the impact of evaporative canopy-cooling irrigation
Cossu, M., Tiloca, M.T., Solinas, S., Lupinu, S., Cossu, A., Deligios, P.A. and Ledda, L. 2026. Water footprint of globe artichoke: the impact of evaporative canopy-cooling irrigation. Agricultural Water Management. 335. https://doi.org/10.1016/j.agwat.2026.110783
The role of ethnicity in shaping coalition politics in Mauritius
2025. The role of ethnicity in shaping coalition politics in Mauritius. in: Fombad, C.M. and Socher, J. (ed.) Constitutionalisation of Political Parties and the State of Democracy in Sub-Saharan Africa Baden-Baden, Germany Nomos Verlagsgesellschaft. pp. 281-309
A multimodal investigation of learner attention and cognitive load in linear and non-linear educational content
Mistry, K., Dafoulas, G., Nalli, G., Aria, F.T., Langari, B. and Tsiakara, A. 2026. A multimodal investigation of learner attention and cognitive load in linear and non-linear educational content. E-Learning Innovations Journal. 4 (2), pp. 25-47. https://doi.org/10.57125/elij.2026.09.25.02
An efficient design framework for developing and demonstrating high reliability in an autoinjector for medical drug delivery
Booth, D. and Bayford, R. 2026. An efficient design framework for developing and demonstrating high reliability in an autoinjector for medical drug delivery. Research in Engineering Design. 37. https://doi.org/10.1007/s00163-026-00493-1