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Senior Indigenous leadership positions across the Australian higher education sector has increased over the past decade. Despite this advancement, there is limited understanding in terms of how to best integrate Indigenous leadership into existing governance structures of Australian universities. In 2018 the Walan Mayiny: Indigenous Leadership in Higher Education project commenced, aimed at establishing a model of best practice for the inclusivity of Indigenous leadership in higher education governance structures. This article presents key findings from the project, namely, a model of senior Indigenous leadership within the Australian universities based on the perceptions of a group of Indigenous academics.

Through qualitative semi-structured interviews with Indigenous academic staff, the perceived value, characteristics and challenges of senior Indigenous leadership were examined. The varying opinions held by Indigenous academics in relation to the qualifications and experience required to fulfil a senior Indigenous leadership position were also highlighted. In doing so, a model of senior Indigenous leadership within the Australian higher education system is presented. The model of best practice presented in this article is underpinned by Indigenous Institutional Theory (Coates et al., 2022), a theoretical framework developed from the Walan Mayiny study.

The research findings highlight the diverse opinions of Indigenous academics in relation to the qualifications and experience required to fulfil a senior Indigenous leadership position. The six essential components are built upon the core characteristics, values and behaviours that senior Indigenous leaders need to have according to Indigenous academics, in order to advance Indigenous success within the academy.

Given Australian universities are being called upon to ensure that senior Indigenous leaders are in the best position possible to forge institutional change, senior Indigenous leaders within the academy may find the contextual Indigenous leadership model beneficial. The model allows one to uphold cultural integrity and fulfil the responsibilities and obligations of their higher education institution, while being able to serve their Indigenous colleagues and communities, leading to the advancement of Indigenous higher education outcomes. Importantly, the model can be adapted to suit all First Nations Peoples globally, who also find themselves working within the shackles of Western institutions.

There is a growing consensus in education that schools can and should attend to students’ social-emotional development. Emerging research and popular texts indicate that students’ mindsets, beliefs, dispositions, emotions and behaviors can advance outcomes, such as college readiness, career success, mental health and relationships. Despite this growing awareness, many districts and schools are still struggling to implement strategies that develop students’ social-emotional skills. The purpose of this paper is to fill this gap by examining the social-emotional learning (SEL) practices in ten middle schools with strong student-reported data on SEL outcomes, particularly for African American and Latinx students.

Case study methods, including interviews, observations and document analysis, were employed.

The authors identify six categories of common SEL practices: strategies that promote positive school climate and relationships, supporting positive behavior, use of elective courses and extracurricular activities, SEL-specific classroom practices and curricula, personnel strategies and measurement and data use. Absence of a common definition of SEL and lack of alignment among SEL practices were two challenges cited by respondents.

This is the first study to analyze SEL practices in outlier schools, with a focus on successful practices with schools that have a majority of African American and/or Latinx students.

Breast cancer is a global public health dilemma and the most prevalent cancer in the world. Effective treatment plans improve patient survival rates and well-being. The five-year survival rate is often used to develop treatment selection and survival prediction models. However, unlike other types of cancer, breast cancer patients can have long survival rates. Therefore, the authors propose a novel two-level framework to provide clinical decision support for treatment selection contingent on survival prediction.

The first level classifies patients into different survival periods using machine learning algorithms. The second level has two models with different survival rates (five-year and ten-year). Thus, based on the classification results of the first level, the authors employed Bayesian networks (BNs) to infer the effect of treatment on survival in the second level.

The authors validated the proposed approach with electronic health record data from the TriNetX Research Network. For the first level, the authors obtained 85% accuracy in survival classification. For the second level, the authors found that the topology of BNs using Causal Minimum Message Length had the highest accuracy and area under the ROC curve for both models. Notably, treatment selection substantially impacted survival rates, implying the two-level approach better aided clinical decision support on treatment selection.

The authors have developed a reference tool for medical practitioners that supports treatment decisions and patient education to identify patient treatment preferences and to enhance patient healthcare.

This study describes and analyzes the output of academic research on the topic of social capital. The concept of social capital has attracted the interest of scholars from a range of academic disciplines, and it has been applied to explain a variety of phenomena.

Using the bibliographic approach, I analyzed aggregate data obtained from the Web of Science database. The analyses were carried out using VOSviewer software.

The results show social capital to be a topic of interest in multiple fields of academic research. The findings highlight the important role that journals, including those from disciplines other than the social sciences, have played in divulging this concept, and show that some countries and institutions are more productive and engage in more collaborative research efforts than others.

The main implications of this study regard research on social capital. The results demonstrate how social capital continues to interest scholars from a variety of academic disciplines. Future bibliometric research should include other sources (literature databases) and be expanded to consider other types of publication.

This paper furthers previous research by exclusively focusing on the concept of social capital. It analyzes the international trend in publications up until the end of 2021, thus expanding the publication period considered in previous studies. The results of this study highlight the relevance of bibliometric tools for assessing research performance.