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You’ll come back another day: exploring the challenges of interviewing upper class elites. (2024)
Journal Article
GRANT, G., FULFORD, H. and REID, P. 2024. You'll come back another day: exploring the challenges of interviewing upper class elites. Qualitative research [online], Online First. Available from: https://doi.org/10.1177/14687941241264461

This article addresses the challenges of undertaking elite interviews with members of the aristocracy and gentry who constitute the upper classes in Great Britain. It reviews the existing guidance on elite interviewing from a number of social science... Read More about You’ll come back another day: exploring the challenges of interviewing upper class elites..

The contribution of human factors and ergonomics to the design and delivery of safe future healthcare. (2021)
Journal Article
SUJAN, M., PICKUP, L., BOWIE, P., HIGHNETT, S., IVES, F., VOSPER, H. and RASHID, N. 2021. The contribution of human factors and ergonomics to the design and delivery of safe future healthcare. Future healthcare journal [online], 8(3), pages e574-e579. Available from: https://doi.org/10.7861/fhj.2021-0112

Human factors and ergonomics (HF/E) is concerned with the design of work and work systems. There is an increasing appreciation of the value that HF/E can bring to enhancing the quality and safety of care, but the professionalisation of HF/E in health... Read More about The contribution of human factors and ergonomics to the design and delivery of safe future healthcare..

Machine learning approach to investigate high temperature corrosion of critical infrastructure materials. (2024)
Journal Article
MUTHUKRISHNAN, R., BALOGUN, Y., RAJENDRAN, V., PRATHURU, A., HOSSAIN, M. and FAISAL, N.H. 2024. Machine learning approach to investigate high temperature corrosion of critical infrastructure materials. High temperature corrosion of materials [online], (accepted).

Degradation of coatings and structural materials due to high temperature corrosion in the presence of molten salt environment is a major concern for critical infrastructure applications to meet its commercial viability. The choice of high value coati... Read More about Machine learning approach to investigate high temperature corrosion of critical infrastructure materials..

Diet and health inequalities: connecting with vulnerable groups to address food insecurity: the DIO Food project. (2024)
Journal Article
CRABTREE, D.R., HUNTER, E., JENNESON, V., FILDES, A., KININMONTH, A., PONTIN, F., ENNIS, E., LONNIE, M., SKEGGS, H., MCHUGH, L., MORRIS, M.A., DOUGLAS, F. and JOHNSTONE, A.M., on behalf of the DIO Food team. [2024]. Diet and health inequalities: connecting with vulnerable groups to address food insecurity: the DIO Food project. Nutrition bulletin [online], (accepted).

The current cost-of-living crisis is disproportionately affecting families experiencing poverty and is likely to be amplifying existing dietary inequalities and challenges, such as food insecurity (FI). Government policies designed to address diet in... Read More about Diet and health inequalities: connecting with vulnerable groups to address food insecurity: the DIO Food project..

An improved particle swarm optimization-cubature Kalman particle filtering method for state-of-charge estimation of large-scale energy storage lithium-ion batteries. (2024)
Journal Article
WANG, C., WANG, S., ZHANG, G., TAKYI-ANINAKWA, P., FERNANDEZ, C. and TAO, J. 2024. An improved particle swarm optimization-cubature Kalman particle filtering method for state-of-charge estimation of large-scale energy storage lithium-ion batteries. Journal of energy storage [online], 100(B), article number 113619. Available from: https://doi.org/10.1016/j.est.2024.113619

With the global demand for large-scale energy storage strategies, lithium-ion batteries with high energy densities have emerged as the primary energy storage systems. State-of-charge (SOC) is a critical state parameter for energy storage systems that... Read More about An improved particle swarm optimization-cubature Kalman particle filtering method for state-of-charge estimation of large-scale energy storage lithium-ion batteries..