Skip to main content

Research Repository

Advanced Search


Welcome to USIR

Welcome to the University of Salford repository (USIR), an Open Access showcase for the published research output of the university. Our collection contains a wide range of research across multiple formats and subject areas.

Whenever possible, outputs will be made openly available here in full digital format for download, with many under a Creative Commons license. See our Policies for further information https://salford-repository.worktribe.com/policies.



Latest Additions

Clinimetrics of the Lanarkshire Oximetry Index for patients with leg ulcers: A systematic review and meta‐analysis (2023)
Journal Article
Wynn, M., Stephens, M., Pradeep, S., Clarke‐Cornwell, A. M., & Bianchi, J. (in press). Clinimetrics of the Lanarkshire Oximetry Index for patients with leg ulcers: A systematic review and meta‐analysis. International Wound Journal, https://doi.org/10.1111/iwj.14519

Ankle Brachial Pressure Index (ABPI) measurement has long been considered the gold standard of vascular assessment for people with lower limb ulceration. Despite this, only around 15% of patients in the United Kingdom who require an ABPI measurement... Read More about Clinimetrics of the Lanarkshire Oximetry Index for patients with leg ulcers: A systematic review and meta‐analysis.

Impact of the COVID-19 pandemic on services for patients with chronic kidney disease: findings of a national survey of UK kidney centres (2023)
Journal Article
Mackintosh, L., Busby, A., Farrington, K., Hawkins, J., Afuwape, S., Bristow, P., …Chilcot, J. (2023). Impact of the COVID-19 pandemic on services for patients with chronic kidney disease: findings of a national survey of UK kidney centres. BMC Nephrology, 24(1), https://doi.org/10.1186/s12882-023-03344-6

Background: Services for patients with kidney disease underwent radical adaptations in response to the COVID-19 pandemic. We undertook an online national survey of UK kidney centres to understand the nature, range, and degree of variation in these ch... Read More about Impact of the COVID-19 pandemic on services for patients with chronic kidney disease: findings of a national survey of UK kidney centres.

An interview with Dr Michael Larkin (2023)
Journal Article
Larkin, M., Amos, I., & Williams, S. (2023). An interview with Dr Michael Larkin. #Journal not on list, QMiP Bulletin(36), 6-14. https://doi.org/10.53841/bpsqmip.2023.1.36.6

Michael Larkin is a Reader in the School of Psychology at Aston University and is perhaps best known for his contribution to the development of Interpretative Phenomenological Analysis. Michael, along with co-authors Jonathan Smith and Paul Flowe... Read More about An interview with Dr Michael Larkin.

Social gaze cueing elicits facilitatory and inhibitory effects on movement execution when the model might act on an object (2023)
Journal Article
Michael Wang, X., Karlinsky, A., Constable, M., Gregory, S., & Welsh, T. (2023). Social gaze cueing elicits facilitatory and inhibitory effects on movement execution when the model might act on an object. Quarterly Journal of Experimental Psychology, https://doi.org/10.1177/17470218231162546

Social cues, such as eye gaze and pointing fingers, can increase the prioritisation of specific locations for cognitive processing. A previous study using a manual reaching task showed that, although both gaze and pointing cues altered target priorit... Read More about Social gaze cueing elicits facilitatory and inhibitory effects on movement execution when the model might act on an object.

A novel routing optimization strategy based on reinforcement learning in perception layer networks (2023)
Journal Article
Tan, H., Ye, T., Rehman, S. U., ur Rehman, O., Tu, S., & Ahmad, J. (2023). A novel routing optimization strategy based on reinforcement learning in perception layer networks. Computer Networks, 237, 110105. https://doi.org/10.1016/j.comnet.2023.110105

Wireless sensor networks have become incredibly popular due to the Internet of Things’ (IoT) rapid development. IoT routing is the basis for the efficient operation of the perception-layer network. As a popular type of machine learning, reinforcement... Read More about A novel routing optimization strategy based on reinforcement learning in perception layer networks.