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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.

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Latest Additions

Teaching About Homelessness – Embodied Learning, Recognising Prior Learning and Experience, and the Key Role of Empathy (2024)
Book Chapter
Irving, A., Harding, J., & Moss, O. (2024). Teaching About Homelessness – Embodied Learning, Recognising Prior Learning and Experience, and the Key Role of Empathy. In Developing and Implementing Teaching in Sensitive Subject and Topic Areas: A Comprehensive Guide for Professionals in FE and HE Settings (59-69). Emerald. https://doi.org/10.1108/978-1-83753-126-420241006

The adoption of a research-informed approach to teaching about homelessness has allowed the authors to provide diverse groups of learners with a range of traditional and more embodied educative experiences, both inside and outside of the classroom. W... Read More about Teaching About Homelessness – Embodied Learning, Recognising Prior Learning and Experience, and the Key Role of Empathy.

Artificial Intelligence-Driven Enhanced CBR Modeling of Sandy Soils Considering Broad Grain Size Variability (2024)
Journal Article
ur Rehman, Z., Aziz, Z., Khalid, U., Ijaz, N., ur Rehman, S., & Ijaz, Z. (in press). Artificial Intelligence-Driven Enhanced CBR Modeling of Sandy Soils Considering Broad Grain Size Variability. #Journal not on list,

The soil packing, influenced by variations in grain size and the gradation pattern within the soil matrix, plays a crucial role in constituting the mechanical properties of sandy soils. However, previous modeling approaches have overlooked incorporat... Read More about Artificial Intelligence-Driven Enhanced CBR Modeling of Sandy Soils Considering Broad Grain Size Variability.