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This chapter reports on research that explores new and emerging extended reality [XR] technologies and how they might provide opportunities to trial, investigate, and put into practice their potential to reverse processes of atomisation, polarisation, and intercultural discomfort, in our contemporary society. This transdisciplinary practice-led research was underpinned by disciplines of computer science and engineering, social sciences, history, diverse community economics, human ecology, and Indigenous psychology. The collaboration between these various disciplines with the Māori and non-Māori community members allowed researchers to understand current societal stressors, prioritise relationality, and explore our shared values in the creation of XR experiences for exhibition in the galleries, libraries, archives, and museums [GLAM] sector.

A discursive design framework motivated, inspired, provoked, persuaded, and reminded inspiring collaborators, and visitors to the exhibitions, the value of (re)connecting with people and overcoming interracial awkwardness through these curated experiences. The XR technologies provided women a platform to discuss and reimagine first encounters between people from different cultural backgrounds. The technologies included a 180° stereoscopic projection, Common Sense, in which Māori Elder Irene Hancy shared her insight about social engagement and haptic HONGI in which visitors were greeted by a Māori woman Tania Remana via augmented reality. This research has been motivated by a desire to promote and support intercultural understanding in Aotearoa New Zealand, and it extends research by other non-Māori and Māori scholars.

Twelve percent of families in the United States have a child with a disability, yet little is known about the long-term consequences of growing up with a disabled sibling. This study builds on previous research regarding disability effects on families and offers an additional view on the linked lives of families and, in particular, siblings. Using secondary data from the National Longitudinal Survey of Youth 1979 Children and Young Adults, this study examines the odds of college completion among young adults with a disabled sibling during childhood. Specifically, I examine the gender differences among those who had a sibling with a disability. Women are more than 35% less likely to complete college if they had a disabled sibling during childhood; there is no significant difference by sibling disability status for boys. To understand whether children in low-resourced families are particularly penalized by having a disabled sibling, I examine whether various family resources attenuate the low graduation odds among those who had a disabled sibling. I find that having stably married parents during childhood largely eliminates the college completion gap between those with and without a disabled sibling. However, increases in mothers' education or family income do not attenuate the college completion gap. By identifying this gender disadvantage in college completion, this study shows that disabilities have consequences not just for disabled individuals but for their siblings as well, shining a light on a hidden cost of disability on families.

This study aims to collect real-time, in situ data from polymer melt extrusion (ME) 3D printing and use only the collected data to non-destructively identify printed parts that contain defects.

A set of sensors was created to collect real-time, in situ data from polymer ME 3D printing. A variance analysis was completed to identify an “acceptable” range for filament diameter on a popular desktop 3D printer. These data were used as the basis of a quality evaluation process to non-destructively identify spatial regions of printed parts in multi-part builds that contain defects.

Anomalous parts were correctly identified non-destructively using only in situ collected data.

This methodology was developed by varying the filament diameter, one of the most common reasons for print failure in ME. Numerous other printing parameters are known to create faults in melt extruded parts, and this methodology can be extended to analyze other parameters.

To the best of the authors’ knowledge, this is the first report of a non-destructive evaluation of 3D-printed part quality using only in situ data in ME. The value is in improving part quality and reliability in ME, thereby reducing 3D printing part errors, plastic waste and the associated cost of time and material.

In a boundary layer ingestion (BLI) propulsion system, the fan operates continuously under distorted inflow conditions, leading to an increment of aerodynamic loss and in turn impacting the potential fuel burn reduction of the aircraft. Usually, in the preliminary design stage of a BLI propulsion system, it is essential to assess the impact of fuselage boundary layer fluids on fan aerodynamic performances under various flight conditions. However, the hub region flow loss is one of the major loss sources in a fan and would greatly influence the fan performances. Moreover, the inflow distortion also results in a complex and highly nonlinear mapping relation between loss and local physical parameters. It will diminish the prediction accuracy of the commonly used low-fidelity computational approaches which often incorporate traditional physics-based loss models, reducing the reliability of these approaches in evaluating fan performances. Meanwhile, the high-fidelity full-annulus unsteady Reynolds-averaged Navier–Stokes (URANS) approach, even though it can give rather accurate loss predictions, is extremely time-consuming. This study aims to develop a fast and accurate hub loss prediction method for a BLI fan under distorted inflow conditions.

This paper develops a data-driven hub loss prediction method for a BLI fan under distorted inflows. To improve the prediction accuracy and applicability, physical understandings of hub flow features are integrated into the modeling process. Then, the key physical parameters related to flow loss are screened by conducting a sensitivity analysis of influencing parameters. Next, a quasi-steady assumption of flow is made to generate a training sample database, reducing the computational time by acquiring one single sample from the highly time-consuming full-annulus URANS approach to a cost-efficient single-blade-passage approach. Finally, a radial basis function neural network is used to establish a surrogate model that correlates the input parameters and the output loss.

The data-driven hub loss model shows higher prediction accuracy than the traditional physics-based loss models. It can accurately capture the circumferentially and radially nonuniform variation trends of the losses and the associated absolute magnitudes in a BLI fan under different blade load, inlet distortion intensity and rotating speed conditions. Compared with the high-fidelity full-annulus URANS results, the averaged relative prediction errors of the data-driven hub loss model are kept less than 10%.

The originality of this paper lies in developing a new method for predicting flow loss in a BLI fan rotor blade hub region. This method offers higher prediction accuracy than the traditional loss models and lower computational time cost than the full-annulus URANS approach, which could realize fast evaluations of fan aerodynamic performances and provide technical support for designing high-performance BLI fans.

The paper examines the relationship between board effectiveness and audit fees for state-owned enterprises (SOEs). Furthermore, given the unique nature of SOEs, the paper assesses country-level influences, such as economic freedom, political democracy and protection of minority shareholders, which can impact board effectiveness and audit fees.

A combination of two-stage and ordinary least squares regression is used to examine the board characteristics-audit fee relationship for SOEs in a multinational setting during the period from 2016 to 2018.

The results indicate that board characteristics that represent a high level of effectiveness are associated with higher audit fees in SOEs. Furthermore, the findings suggest SOE's operating in countries evidencing medium levels of democracy and economic freedom and medium to high levels of protection of minority shareholders may be motivated to reduce agency conflicts by promoting accountability and transparency, thereby demanding increasing levels of corporate governance, monitoring and audit quality, thereby increasing audit fees.

The results provide further support for the OECD (2015) guidelines promoting the use of high-quality external audits in SOEs.

As a result of the scarceness of research in this area, the current study extends the literature by examining the role of corporate governance and audit fees in SOEs, while examining the influence of economic freedom, political democracy and protection of minority shareholders.

This chapter proposes a sustainable trajectory for leadership and diversity, equity, and inclusion (DEI) organizational change in higher education. Leadership practices and strategies necessary to construct and implement change and cultivate diverse, equitable, and inclusive educational environments are deliberated, with particular emphasis on transformational leadership theories and practices. These types of organization development practices produce concrete transformation in institutions that have long-established, inert, and deeply entrenched cultures in which discriminatory or even racist practices have been deeply embedded and accepted over time. The complex dynamics of transformation in higher education, brought on, in part, by the rigidity of its organizational structure coupled with its history and foundation in racism and racist practices, makes achieving sustainable change difficult in higher education. Transformational change requires the creation of new mental models through meaning making and perspective sharing that allow individuals in higher education to think differently about how higher education institutions should operate given the rapid shifts in our society. Organizational change leaders must engage in deep, purposeful, and critical reflection and examination of the organization's culture to lay the groundwork for significant change. The chapter explores topics such as leading change through transformational leadership and the styles, practices, and capabilities associated with it, leadership development, strategic diversity leadership, and the Chief Diversity Officer (CDO) as change leader in higher education. The internal and external environmental trends demanding substantive change in higher education continue to intensify over time. The demand for pervasive transformation in higher education is resounding, and institutional leaders must be open to and even drive new and innovative approaches to shifting its very core – its DNA, its culture – to meet those demands.