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Connecting with lines of flight : reviewing texts of influence

- Jukes, Scott

  • Authors: Jukes, Scott
  • Date: 2023
  • Type: Text , Book chapter
  • Relation: Learning to confront ecological precarity : engaging with more-than-human worlds Chapter 2 p. 21-31
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  • Description: This chapter is split into two parts. Part One explores Stewart’s (2020) book, Developing place-responsive pedagogy in outdoor environmental education: A rhizomatic curriculum autobiography as a point of departure in my own rethinking of pedagogy and curriculum. The book travels his 20+ year journey of practicing/researching place-responsive OEE within south-eastern Australian, drawing upon Deleuzo-Guattarian philosophy. I open discussions on this book as it is one that has been influential for me, before I segue into part two. Part two emerges from my experiences in the 2019/2020 Australian summer. Two things of note happened, bushfires ravaged the east coast of Australia and I read Jamie Mcphie’s (2019) Mental health and wellbeing in the Anthropocene: A posthuman inquiry. This part of the book is a situated essay focusing on Mcphie’s book as a tool to think with. I found it offered me generative ways of thinking differently about the environment and climate induced events such as the fires. I discuss Mcphie’s book and its relevance for environmental education researchers, including the many conceptual and methodological possibilities it provides (which I put to work myself later). © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Contemporary Christian Music and Contemporary Worship Music

- Abraham, Ibrahim

  • Authors: Abraham, Ibrahim
  • Date: 2023
  • Type: Text , Book chapter
  • Relation: The Routledge International Handbook of Sociology and Christianity Chapter 19 p. 242-253
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  • Description: This chapter offers a critical overview of sociological aspects of and approaches to contemporary Christian music (CCM) and contemporary worship music (CWM), two related genres of abidingly evangelical popular music in which contemporary Christianity engages the spectacular capacities of consumer capitalism. Identifying CCM as musically diverse, yet united by the shifting values of American evangelicalism, and recognizing CWM as a sophisticated congregational practice increasingly integrated into the everyday lives of listeners, this chapter analyzes tensions and contestations in these cultural forms. It also identifies important theoretical concepts pertinent to the study of CCM and CWM: Emile Durkheim’s concept of collective effervescence, Theodor Adorno’s critique of the culture industry, approaches to music-based subcultures, and Christopher Small’s musicking paradigm. © 2024 selection and editorial matter, Dennis Hiebert; individual chapters, the contributors.

Context and controversies of Australian Courts

- Camilleri, Marg, Harkness, Alistair

  • Authors: Camilleri, Marg , Harkness, Alistair
  • Date: 2023
  • Type: Text , Book chapter
  • Relation: Australian Courts: Controversies, Challenges and Change Chapter 1 p. 1-18
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  • Description: As with most criminal justice systems internationally, the Australian system is not immune from controversy-both historically and contemporaneously. The arrival of the First Fleet in 1788 imposed monumental and ongoing systemic change for First Nations peoples, the impacts of which remain. This chapter is divided into two parts. The first charts the development of courts within the Australian criminal justice system, both historically and theoretically. The second identifies controversies which exist across various Australian court jurisdictions. A critical role of a justice system is to ensure fair and equitable access to all its systems and processes. To this end, five critical matters can be considered when contemplating access to the courts: (i) access to and financial imposts of legal representation; (ii) physical infrastructure; (iii) access to rehabilitation options; (iv) justice delays; and (v) participatory justice. © The Editor(s)(if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2022.

Corrosion and coating defect assessment of Coal Handling and Preparation Plants (CHPP) using an ensemble of deep convolutional neural networks and decision-level data fusion

- Yu, Yang, Hoshyar, Azadeh, Samali, Bijan, Zhang, Guang, Rashidi, Maria, Mohammadi, Masoud

  • Authors: Yu, Yang , Hoshyar, Azadeh , Samali, Bijan , Zhang, Guang , Rashidi, Maria , Mohammadi, Masoud
  • Date: 2023
  • Type: Text , Journal article
  • Relation: Neural Computing and Applications Vol. 35, no. 25 (2023), p. 18697-18718
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  • Description: In view of the problems of ineffective feature extraction and low detection accuracy in existing detection system, this study presents a novel machine vision-based approach composed of an ensemble of deep convolutional neural networks (CNNs) and improved Dempster-Shafer (D-S) theory-based data fusion to evaluate corrosion and coating defect of coal handling and preparation plants. To start with, the structural surface image is sent to each transferred CNN for initial defect identification. Then, an improved D-S fusion algorithm is proposed to combine the identification results from different CNNs, which are vectors consisting of statistical indicators of all the potential damage severity categories. The decision-level fusion of different CNNs can effectively improve image classification. To validate the performance of the proposed method, a dataset made of 3593 surface images with different defect severities captured from mining infrastructure in field is established together with data augmentation. The validation result demonstrates that the proposed method is able to effectively improve the recognition accuracy of defect severity and reduce the wrong recognition rate. Finally, the robustness of the proposed approach is also appraised by polluting the images with different types and intensities of noise, with satisfactory results. © 2023, The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature.

COVID-19 and the welfare state : social work’s practice and policy

- Noble, Carolyn, Ottmann, Goetz

Creative arts intervention in support of women experiencing a high-risk pregnancy : a qualitative descriptive thematic analysis

- Anolak, Helena, Lau, Farrah, Davis, Deborah, Browne, Jenny, Watt, Bec

  • Authors: Anolak, Helena , Lau, Farrah , Davis, Deborah , Browne, Jenny , Watt, Bec
  • Date: 2023
  • Type: Text , Journal article
  • Relation: Sexual and Reproductive Healthcare Vol. 36, no. (2023), p.
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  • Description: Background: Mental illness can have negative effects on both the pregnant woman and her unborn child. Studies that use the creative arts as interventions have proven to be beneficial to women's antenatal mental health and wellbeing, however, these studies are limited and emergent. Music, drawing and narrative (MDN) is an established music therapy intervention, stemming from guided imagery and music (GIM), that has the potential to support positive mental health and wellbeing. Yet, to date, there have been limited studies on the use of this form of therapy with inpatient antenatal women. Aim: To describe antenatal inpatient women's experiences of participating in a MDN session. Methods: Qualitative data were collected from a sample of 12 inpatient pregnant women who participated in MDN group sessions of drawing to music. Post intervention interviews explored the mental and emotional health of participants. A thematic analysis of the transcribed interview data was performed. Findings: Through reflection women were supported to acknowledge both the positives and difficulties of pregnancy as well as establish meaningful connections through shared experience. These thematic findings highlighted that MDN enabled this group of pregnant women to better communicate their feelings, validate emotions, engage in positive distractions, develop greater connections, improve optimism, experience calmness, and learn from others. Conclusion: This project demonstrates that MDN may offer a viable method for supporting women experiencing high risk pregnancies. © 2023 Elsevier B.V.

Critical review of the models used to determine soil water content using TDR-measured apparent permittivity

- He, Hailong, Zou, Wenxiu, Jones, Scott, Robinson, David, Horton, Robert, Dyck, Miles, Filipović, Vilim, Noborio, Kosuke, Bristow, Keith, Gong, Yuan, Sheng, Wenyi, Wu, Qingbai, Feng, Hao, Liu, Yang

  • Authors: He, Hailong , Zou, Wenxiu , Jones, Scott , Robinson, David , Horton, Robert , Dyck, Miles , Filipović, Vilim , Noborio, Kosuke , Bristow, Keith , Gong, Yuan , Sheng, Wenyi , Wu, Qingbai , Feng, Hao , Liu, Yang
  • Date: 2023
  • Type: Text , Book chapter
  • Relation: Advances in Agronomy Chapter 4 p. 169-219
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  • Description: Time domain reflectometry (TDR) is the most widely used non-destructive, easily automated method to determine water content of soils and other porous media. However, it should be noted that two key steps are required for TDR applications: (1) Obtain and analyze TDR waveforms using travel-time analysis to determine apparent permittivity; (2) determine a new- or apply an existing relationship between the derived apparent permittivity and the volumetric water content of the porous medium of interest. Activities associated with the first key step were presented in a previous review of TDR applications in porous media including soils, plants, snow, food, and concrete (He et al., 2021, Advances in Agronomy, 83–155). This review focuses on the second step required by TDR applications to determine soil water content in both field and laboratory environments. Numerous mathematical models have been developed to enhance our ability to better estimate water content with TDR-measured apparent dielectric permittivity. When applied judiciously, TDR measurements can help to better understand processes such as coupled transport of water, solutes, and heat, measure the soil water balance and improve the efficiency of irrigation scheduling. However, there are important differences in the formulation, applicability, and accuracy of these models, and no systematic review has been previously undertaken. The objectives of this study are to (1) review and synthesize models relating TDR-measured apparent permittivity to water content in porous media, and (2) analyze the relationships between models. This review examines a total of 157 models that are categorized into 123 empirical models, 11 semi-empirical models, and 23 physical models, based on their development, underlying theories, phase configurations, applications to mineral or organic soils, and unfrozen or frozen conditions. Model limitations and perspectives are discussed and several unresolved questions are presented to highlight the need for further research in this rapidly expanding field. © 2023 Elsevier Inc.

Cultivating whole-heartedness in the academy during a time of COVID : insights from/within an inter-collegial friendship

- Green, Monica, McClam, Sherie

  • Authors: Green, Monica , McClam, Sherie
  • Date: 2023
  • Type: Text , Book chapter
  • Relation: Reflections on Valuing Wellbeing in Higher Education : Reforming Our Acts of Self-care Chapter 9 p. 111-124
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  • Description: This chapter explores how we, Sherie (American) and Monica (Australian), two feminist teacher educators and collaborators, used reflective dialogic exchanges to examine our academic lives during the COVID-19 pandemic in 2020. The underpinning personal and emotional layers of our wholehearted conversations sit within our robust inter-collegial friendship, which offers us critical support and reminders about the importance of self-care/compassion in our navigation of academic complexities and obligations. The chapter is framed by three of Brene Brown’s ‘wholehearted’ provocations or prompts that we used to explore our respective lived COVID-19 experiences within the broader milieu of contemporary academia. The chapter concludes with insights about the ways in which collegial friendships contribute to academic wellbeing and self-care. © 2023 selection and editorial matter, Narelle Lemon.

Cultural landscapes : human impacts on wetlands

- Mills, Keely, Jones, Matthew, Hunt, Laura, Saulnier-Talbot, Emilie, Elias, Deevena, Nankabirwa, Angela, Lejju, Julius, Gell, Peter

  • Authors: Mills, Keely , Jones, Matthew , Hunt, Laura , Saulnier-Talbot, Emilie , Elias, Deevena , Nankabirwa, Angela , Lejju, Julius , Gell, Peter
  • Date: 2023
  • Type: Text , Book chapter
  • Relation: Ramsar Wetlands: Values, Assessment, Management Chapter 10 p. 237-258
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  • Description: Wetlands provide a wealth of ecosystem services to people, including ecological, economic, and socio-cultural benefits. However, more than 30% of freshwater species are threatened with extinction, and freshwater biodiversity is declining faster than that observed in oceans or forests. When it comes to the management of wetlands, it often occurs too late and when ecosystem services to people are at risk of being lost. It is easy to observe and monitor the recent impacts of people on wetland systems, but the changes we see today are a product of hundreds, even thousands of years of direct and indirect human impact. Without a deeper understanding of the long-term context of human impacts on wetland systems, it is impossible to manage the problems they experience (such as changes in hydrology, nutrient loading, acidification, and salinisation). Despite the 20th century being the period in which humans have exerted the greatest impact on wetland systems, it was also the period in which we developed a greater appreciation of wetlands as anthropogenically altered landscapes, and, maybe paradoxically, the benefits that accrue from healthy wetlands. Palaeolimnological approaches allow an understanding of wetland system variability over millennial scales, providing background context for anthropogenically forced change. This palaeo-perspective enables a deeper understanding of the long-term context of human impacts on wetland systems and can provide a fresh perspective when managing impacted systems. © 2023 Elsevier Inc. All rights reserved.

Cyberbullying, mental health, and lesbian, gay, and bisexual youth with disabilities : intersectionalities and environmental risks

- Gates, Trevor, Bills, Kaycee, Bennett, Bindi, Kelly, Brian

  • Authors: Gates, Trevor , Bills, Kaycee , Bennett, Bindi , Kelly, Brian
  • Date: 2023
  • Type: Text , Journal article
  • Relation: Journal of Child and Family Studies Vol. 32, no. 10 (2023), p. 3159-3166
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  • Description: Lesbian, gay, and bisexual youth with disabilities are at risk for being cyberbullied. Additionally, these risks can be compounded by other intersectional factors, such as cultural identity. Youth with multiple marginalized identities are at risk for stress, discrimination, and poor mental health outcomes as a result of bullying. However, research exploring the intersections between risk, sexual identity, and disability is sparse. In this article, we begin to address this gap in a diverse sample of lesbian, gay, and bisexual youth who have reported being cyberbullied in the Youth Risk Behavior Surveillance System. We discuss implications for child and family studies, identifying opportunities for further discussion on risk, mental health, and person-in-environment factors for lesbian, gay, and bisexual youth with disabilities. © 2023, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.

Cytoskeletal plakins in epithelial ovarian cancer

- Wesley, Tamsin

  • Authors: Wesley, Tamsin
  • Date: 2023
  • Type: Text , Thesis , PhD
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  • Description: The plakin family of cytoskeletal proteins play an important role in cancer progression yet are under-studied in cancer, especially ovarian cancer. These large cytoskeletal proteins have primary roles in the maintenance of cytoskeletal integrity. They are also associated with scaffolds of intermediate filaments and hemidesmosomal adhesion complexes mediating signalling pathways that regulate cellular growth, migration, invasion and differentiation, as well as a stress response. Abnormalities of plakins, and the closely related spectraplakins, result in serious pathologies of skin, striated muscle and nervous tissue. Their prevalence in epithelial cells suggests that plakins may play a role in epithelial ovarian cancer progression and recurrence. This thesis sought to explore the expression of plakin proteins, particularly plectin (PLEC), desmoplakin (DSP), periplakin (PPL) and envoplakin (EVPL) in ovarian cancer progression, comparing surgical stages, historical Silverberg histological grading and current World Health Organisation (WHO) pathological classification of ovarian tumour types. The study also investigated the potential role that the plakin family of proteins may play in regulating cancer cell growth, survival, migration, invasion and drug resistance. It highlights potential relationships between plakins and epithelial-mesenchymal transition (EMT) and relates how these interactions may affect ovarian cancer progression, chemoresistance and ultimately recurrence. This study hypothesises that the molecular changes in the expression of plakins in benign ovarian tumours compared to various grades and stages of ovarian carcinomas, as well as floating cellular aggregates (spheroids) in the peritoneal ascites microenvironment, may contribute to the progression of the disease. It also attempts to understand these crucial changes in plakin expression in response to chemotherapy treatment and relate these findings in the perspective of disease recurrence.
  • Description: Doctor of Philosophy

Data evolution governance for ontology-based digital twin product lifecycle management

- Ren, Zijie, Shi, Jianhua, Imran, Muhammad

  • Authors: Ren, Zijie , Shi, Jianhua , Imran, Muhammad
  • Date: 2023
  • Type: Text , Journal article
  • Relation: IEEE Transactions on Industrial Informatics Vol. 19, no. 2 (2023), p. 1791-1802
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  • Description: Product lifecycle management (PLM) is an effective method for enhancing the market competitiveness of modern manufacturing industries. The digital twin is characterized by a profound integration of physics and information systems, which provides a technical means for integrating multisource information and breaking the time and space barrier of communication at each link of the lifecycle. Currently, however, the application of this technology focuses primarily on the product itself and 'service-oriented' application results. There is a lack of focus on twin data and its internal evolutionary mechanisms separately. In the management of global data resources, the benefits of digital twin technology cannot be fully realized. This article applies ontology technology in an innovative manner to the field of the digital twin to increase the reusability of twin data. Initially, a four-layered ontology-based twin data management architecture is presented. Then, a three-dimensional and three-granularity unified evolution model of full lifecycle twin data is proposed, as well as its ontology model. Then, the service mode of data components at each stage of the lifecycle is defined, a knowledge-sharing plane is established in the digital twin, and a data governance method based on ontology reasoning using data components on the shared plane is proposed. The ICandyBox simulation platform is then used to demonstrate the concept of the proposed method, and future research directions are proposed. © 2005-2012 IEEE.

Data Industry

- Das, Amritam, Kolluri, Ramachandra, Mareels, Iven

  • Authors: Das, Amritam , Kolluri, Ramachandra , Mareels, Iven
  • Date: 2023
  • Type: Text , Book chapter
  • Relation: The impact of automatic control research on industrial innovation : enabling a sustainable future Chapter 2 p. 15-41
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  • Description: Digitization is at the heart of the fourth industrial revolution, Industry 4.0, and/or Society 5.0. The fourth industrial revolution evolved from the work started with control and automation of manufacturing processes in the third industrial revolution, and brings automation to bear on all engineered processes, be it physical, or administrative. Digitization promises to bring objective, evidence-based, decision-making to all aspects of society, at scale, so as to enable us to steer toward a sustainable society. Data centers embody the core information technology that supports this cyberphysical world. Ensuring that this technology (data centers) itself develops in a sustainable manner not only requires careful orchestration of the available compute, storage, and communication resources but also how we manufacture, maintain, and recycle. This chapter focuses on the former, and provides hints toward the latter. The data center story that unfolds presents itself as a microcosmos of the broader sustainability questions affecting our world, and how we can approach them. ©2024 The Institute of Electrical and Electronics Engineers, Inc.

Data-driven multi-resolution probabilistic energy and reserve bidding of wind power

- Hosseini, Seyyed, Toubeau, Jean-Francois, De Greve, Zacharie, Wang, Yi, Amjady, Nima, Vallee, Francois

  • Authors: Hosseini, Seyyed , Toubeau, Jean-Francois , De Greve, Zacharie , Wang, Yi , Amjady, Nima , Vallee, Francois
  • Date: 2023
  • Type: Text , Journal article
  • Relation: IEEE transactions on power systems Vol. 38, no. 1 (2023), p. 1-1
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  • Description: The current wind farm control schemes qualify wind power producers (WPPs) to provide balancing services in complement to energy in modern electricity markets. In this context, WPPs are responsible for real-time deviations in both energy and reserve market floors, which are settled at different time scales. WPPs should adjust their output to cope with fast wind variations, which are critical in the balancing stage. In this paper, we devise a reliable high-temporal-resolution day-ahead bidding framework for WPPs considering the ultra-short-term wind stochasticity. To that end, the model for the bidding strategy is enriched with a probabilistic constraint controlling the confidence level on reserve bids to enhance the reliability of the offered capacity. Additionally, an original Auxiliary Classifier Wasserstein Generative Adversarial Network (ACWGAN) is proposed to generate high-temporal-resolution wind speed scenarios to be embedded into the bidding framework. The numerical results firstly confirm the superiority of the proposed ACWGAN over the other GAN-based alternatives. Then, the effectiveness of the proposed data-driven method over its single-resolution counterpart and other scenario representation methods is verified regarding the minimization of the negative impact of wind variability on WPPs' profit and reliability of offered reserve bids.

Data-efficient graph learning meets ethical challenges

- Tang, Tao

Dating in the dark : vulnerable narcissism predicts inauthentic self-presentation in online dating

- Willis, Megan, Oliver, Eliza, March, Evita

  • Authors: Willis, Megan , Oliver, Eliza , March, Evita
  • Date: 2023
  • Type: Text , Journal article
  • Relation: Telematics and Informatics Vol. 81, no. (2023), p.
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  • Description: The current study investigated whether Dark Triad traits (vulnerable and grandiose narcissism, primary and secondary psychopathy, and Machiavellianism views and tactics) predicted inauthentic self-presentation whilst dating online, and whether those who reported engaging in antisocial dating behaviours were higher on Dark Triad traits, and more likely to self-present inauthentically in online dating. Online daters (N = 313) were recruited via Prolific and completed measures to assess Dark Triad traits, inauthenticity, and antisocial dating behaviours (i.e., ghosting and breadcrumbing). Vulnerable narcissism was a significant predictor of online dating inauthentic self-presentation. No other Dark Triad traits emerged as significant predictors. Online dating inauthentic self-presentation was significantly higher for those who had breadcrumbed someone. Those who had ghosted someone had significantly greater vulnerable narcissism and secondary psychopathy, and those who had breadcrumbed someone had significantly greater vulnerable narcissism and Machiavellianism views than those who had not. As previous research has demonstrated that individuals high on vulnerable narcissism are more likely to perpetrate intimate partner violence, online daters should consider evidence of inauthenticity to be ‘red flags’ for potential harm as interactions continue. Especially given the current study demonstrated those who had previously ghosted and breadcrumbed were higher on vulnerable narcissism. © 2023 Elsevier Ltd

Design of energy storage for frequency stability in low-inertia power grid

- Akram, Umer, Mithulananthan, N, Shah, Rakibuzzaman, Alzahrani, Saeed

  • Authors: Akram, Umer , Mithulananthan, N , Shah, Rakibuzzaman , Alzahrani, Saeed
  • Date: 2023
  • Type: Text , Journal article
  • Relation: IEEE Systems Journal Vol. 17, no. 3 (2023), p. 4763-4774
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  • Description: Short-term frequency instability is one of the major concerns in power systems with high percentage of converter-interfaced renewable energy sources. Energy storage system (ESS) has proven to be a viable solution for the problem of short-term frequency instability by fast frequency response (FFR). However, the appropriate location, size, and operating strategy of ESS are the main challenges for FFR. Power injection at some buses in large grids may lead to angular separation and instability. In addition, oversizing ESS could lead to huge investments without appropriate returns and under sizing may jeopardizes grid stability. Capacity estimation of ESS for FFR considering the suitable location and overall deployment strategies are missing in the current literature for large power grids. Hence, this research proposes a technique to place and size ESS for better FFR in power grids. The proposed technique consists of two steps. In the first step, a methodology based on frequency dynamic signature (FDS) is developed to identify the most suitable location. In the second step, the required capacity of the ESS is estimated based on a step reduction iterative algorithm (SRIA). SRIA and FDS consider the complete dynamics of power system components that affect the frequency dynamics of the system. The proposed methodology is thoroughly verified for various operating conditions in IEEE 39-bus using DIgSILENT PowerFactory. © 2007-2012 IEEE.

Detection and explanation of anomalies in healthcare data

- Samariya, Durgesh, Ma, Jiangang, Aryal, Sunil, Zhao, Xiaohui

  • Authors: Samariya, Durgesh , Ma, Jiangang , Aryal, Sunil , Zhao, Xiaohui
  • Date: 2023
  • Type: Text , Journal article
  • Relation: Health Information Science and Systems Vol. 11, no. 1 (2023), p. 20-20
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  • Description: The growth of databases in the healthcare domain opens multiple doors for machine learning and artificial intelligence technology. Many medical devices are available in the medical field however, medical errors remain a severe challenge. Different algorithms are developed to identify and solve medical errors, such as detecting anomalous readings, anomalous health conditions of a patient, etc. However, they fail to answer why those entries are considered an anomaly. This research gap leads to an outlying aspect mining problem. The problem of outlying aspect mining aims to discover the set of features (a.k.a subspace) in which the given data point is dramatically different than others. In this paper, we present a framework that detects anomalies in healthcare data and then provides an explanation of anomalies. This paper aims to effectively and efficiently detect anomalies and explain why they are considered anomalies by detecting outlying aspects. First, we re-introduced four anomaly detection techniques and outlying aspect mining algorithms. Then, we evaluate the performance of anomaly detection techniques and choose the best anomaly detection algorithm. Later, we detect the top k anomaly as a query and detect their outlying aspect. Lastly, we evaluate their performance on 16 real-world healthcare datasets. The experimental results show that the latest isolation-based outlying aspect mining measure, SiNNE, has outstanding performance on this task and has promising results.

Development and validation of the feminist social identity scale

- Poll, Alex, Critchley, Christine

  • Authors: Poll, Alex , Critchley, Christine
  • Date: 2023
  • Type: Text , Journal article
  • Relation: Current psychology Vol. 42, no. 15 (2023), p. 12614-12629
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  • Description: Feminist identity is a multidimensional construct, associated with significant physical and psychological outcomes. Despite this, it has previously been largely conceptualised and measured as unidimensional. To address this limitation, we developed a multidimensional measure of feminist identity using the framework of social identity theory. A total of 1493 respondents (81.8% women, 16.6% men, 1.5% other genders) aged between 18 and 75 years ( M= 31.55, SD =11.37) completed an online survey. Following Confirmatory Factor Analysis, expert evaluation ( N = 21), and testing of the model in a separate sample ( N = 504), the Feminist Social Identity Scale (FSIS) was created. The FSIS is comprised of 36-items which measure feminist identity across 12 subscales and has excellent internal consistency, test-retest reliability, and validity indices. Latent Class Analysis revealed that the FSIS successfully distinguishes between different levels of feminist identity. The FSIS will aid future researchers to examine feminist identity as a multidimensional construct, avoiding the limitations of single construct measures.

Development of a novel behavioral sleep medicine education workshop designed to increase trainee psychologists’ knowledge and skills in insomnia management

- Meaklim, Hailey, Rehm, Imogen, Junge, Moira, Monfries, Melissa, Kennedy, Gerard, Bucks, Romola, Meltzer, Lisa, Jackson, Melinda

  • Authors: Meaklim, Hailey , Rehm, Imogen , Junge, Moira , Monfries, Melissa , Kennedy, Gerard , Bucks, Romola , Meltzer, Lisa , Jackson, Melinda
  • Date: 2023
  • Type: Text , Journal article
  • Relation: Behavioral Sleep Medicine Vol. 21, no. 6 (2023), p. 787-801
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  • Description: Objectives: Despite the clear influence of poor sleep on mental health, sleep education has been neglected in psychology training programs. Here, we develop a novel behavioral sleep medicine (BSM) education workshop, the Sleep Psychology Workshop, designed for integration within graduate psychology programs. We also examined the potential efficacy and acceptability of the workshop to upskill trainee psychologists in sleep and insomnia management. Methods: The Sleep Psychology Workshop was developed using a modified Delphi Method. Eleven trainee psychologists completing their Master of Psychology degrees (90% female, 24.4 ± 1.6 years old) attended the workshop, delivered as three, two-hour lectures (total of six hours). Sleep knowledge, attitudes, and practice assessments were completed pre-and post-intervention using the GradPsyKAPS Questionnaire. A focus group and 6-month follow-up survey captured feedback and qualitative data. Results: Trainees’ sleep knowledge quiz scores (% correct) increased from 60% to 79% pre- to post-workshop (p =.002). Trainees’ self-efficacy to use common sleep-related assessment instruments and empirically supported interventions to manage sleep disturbances increased, along with their confidence to manage insomnia (all p < .02). Participant feedback was positive, with 91% of trainees rating the workshop as “excellent” and qualitative data highlighting trainees developing practical skills in BSM. Six months post-intervention, 100% of trainees endorsed routinely asking their clients about sleep, with 82% reporting improvements in their own sleep. Conclusions: The Sleep Psychology Workshop is a potentially effective and acceptable introductory BSM education program for trainee psychologists, ready for integration within the graduate psychology curriculum. © 2023 Taylor & Francis Group, LLC.