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This case study delves into the evolving landscape of equity, inclusion and diversity (EID) initiatives within the health-care sector, with a specific focus on the “EverybodyIN” program implemented at the Mayo Clinic, a large academic Medical Center in the USA. Against the backdrop of growing awareness catalyzed by societal events, this case study aims to explore the multifaceted aspects of workplace conversations aimed at addressing racial disparities and fostering a more inclusive environment.

The case study relies on the application of critical race theory and a social constructionist approach to investigate the impact of a subset of voluntary educational conversations that were centered on the Black/African-American experience, on staff members’ racial understanding and allyship within the health-care organization. Through thematic analysis of postevent surveys and participant sentiments, three overarching themes emerged: appreciation, education and validation.

Through thematic analysis of postevent surveys and participant sentiments, three overarching themes emerged: appreciation, education and validation. The findings underscore the pivotal role of leadership buy-in, evidence-based practices, health equity and an ongoing commitment to “the journey” in successful EID efforts. The results highlight the significance of integrating EID into health-care organizations as a continuous endeavor that aligns with organizational values and mission.

The findings underscore the pivotal role that theory and practice play through a newly described framework that includes leadership buy-in, evidence-based practices, health equity and an ongoing commitment to “the journey” for successful EID efforts.

The results highlight the significance of integrating EID into health-care organizations as a continuous endeavor that aligns with organizational values and mission.

By fostering a safe and informed space for dialogue, organizations can empower staff to engage authentically and acquire cultural competence that may contribute to advancing health equity.

Magnetic polarizability tensors (MPTs) provide an economical characterisation of conducting magnetic metallic objects and their spectral signature can aid in the solution of metal detection inverse problems, such as scrap metal sorting, searching for unexploded ordnance in areas of former conflict and security screening at event venues and transport hubs. In this work, the authors aim to discuss methods for efficiently building large dictionaries for classification approaches.

Previous work has established explicit formulae for MPT coefficients, underpinned by a rigorous mathematical theory. To assist with the efficient computation of MPTs at differing parameters and objects of interest, this work applies new observations about the way the MPT coefficients can be computed. Furthermore, the authors discuss discretisation strategies for hp-finite elements on meshes of unstructured tetrahedra combined with prismatic boundary layer elements for resolving thin skin depths and using an adaptive proper orthogonal decomposition (POD) reduced-order modelling methodology to accelerate computations for varying parameters.

The success of the proposed methodologies is demonstrated using a series of examples. A significant reduction in computational effort is observed across all examples. The authors identify and recommend a simple discretisation strategy and improved accuracy is obtained using adaptive POD.

The authors present novel computations, timings and error certificates of MPT characterisations of realistic objects made of magnetic materials. A novel postprocessing implementation is introduced and an adaptive POD algorithm is demonstrated.