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A decision framework for SMEs to address sustainability issues with Industry 4.0 technologies (2025)
Journal Article
Jamwal, A., Palit, N., Kumari, S., Agrawal, R., & Sharma, M. (in press). A decision framework for SMEs to address sustainability issues with Industry 4.0 technologies. Annals of Operations Research, https://doi.org/10.1007/s10479-025-06560-5

This study investigates the adoption of Industry 4.0 technologies in Small and Medium Enterprises (SMEs) within emerging economies, focusing on sustainability and resource efficiency. Extant research often targets larger firms or developed economies,... Read More about A decision framework for SMEs to address sustainability issues with Industry 4.0 technologies.

Comparison of the procoagulant activity between extracellular vesicles obtained from cellular monolayers and spheroids (2025)
Journal Article
Rondon, A. M., Featherby, S., Gomes, T., Laghmani, E. H., Ettelaie, C., & Versteeg, H. H. (in press). Comparison of the procoagulant activity between extracellular vesicles obtained from cellular monolayers and spheroids. Journal of Thrombosis and Thrombolysis, https://doi.org/10.1007/s11239-025-03076-4

Tissue factor (TF) is the main activator of blood coagulation and is associated with thrombosis and tumor progression. It can be released into the blood circulation incorporated within cancer cell-derived extracellular vesicles (EVs). In this study,... Read More about Comparison of the procoagulant activity between extracellular vesicles obtained from cellular monolayers and spheroids.

Evaluating and implementing machine learning models for personalised mobile health app recommendations (2025)
Journal Article
Morenigbade, H., Al Jaber, T., Gordon, N., & Eke, G. (2025). Evaluating and implementing machine learning models for personalised mobile health app recommendations. PLoS ONE, 20(3), e0319828. https://doi.org/10.1371/journal.pone.0319828

This paper focuses on the evaluation and recommendation of healthcare applications in the mHealth field. The increase in the use of health applications, supported by an expanding mHealth market, highlights the importance of this research. In this stu... Read More about Evaluating and implementing machine learning models for personalised mobile health app recommendations.

Employee ownership and workplace democracy: Antidotes to labour market monopsony? (2025)
Journal Article
FitzRoy, F. R., & Nolan, M. A. (in press). Employee ownership and workplace democracy: Antidotes to labour market monopsony?. Journal of Participation and Employee Ownership, https://doi.org/10.1108/jpeo-10-2022-0021

Abstract – Purpose
We show that employee ownership is more efficient than control by external capital owners/employers. This complements the empirical evidence for benefits of employee ownership surveyed by Mygind and Poulsen (2021), Kruse (2022), a... Read More about Employee ownership and workplace democracy: Antidotes to labour market monopsony?.

Spatial and temporal heterogeneity of the marine nitrogen cycle during the end-Triassic mass extinction (2025)
Journal Article
Li, J., Song, H., Du, Y., Wignall, P. B., Bond, D., Grasby, S. E., Song, H., Dal Corso, J., Tian, L., & Chu, D. (online). Spatial and temporal heterogeneity of the marine nitrogen cycle during the end-Triassic mass extinction. Chemical Geology, https://doi.org/10.1016/j.chemgeo.2025.122752

The end-Triassic mass extinction (ETME) marks a pivotal event in Earth’s history, characterized by major environmental changes in both marine and terrestrial settings and significant perturbations in the carbon and nitrogen biogeochemical cycles alon... Read More about Spatial and temporal heterogeneity of the marine nitrogen cycle during the end-Triassic mass extinction.