Digital Commons Network^™

And Then Covid Happened: The Impact Of The Pandemic On Transition Temporalities For Mobile Youth, Anita Harris, Giulia Marchetti, Loretta Baldassar

Research outputs 2022 to 2026

This article explores how the COVID-19 pandemic affected mobile young people’s experiences of the temporality of transitions to adulthood. Young people are today the most mobile population globally, and mobility has necessarily become integral to youth-to-adulthood transitions. By adopting transition temporalities as an analytical key, we consider the impact of pandemic immobility on the transition experiences of young movers who, when the pandemic hit, found themselves stuck not only in place but also in time. Drawing on in-depth interviews undertaken during the pandemic with transnationally mobile young people (aged 18–30) who left Australia for abroad or moved to Australia from …

Numerically Evaluating The Effect Of Extrusion Angle On Material Flow And Thermal Behaviour During Additive Friction Extrusion Deposition (Afed), Numan Habib, Ferdinando Guzzomi, Ana Vafadar

Research outputs 2022 to 2026

Additive Friction Extrusion Deposition (AFED), also known as “SoftTouch”, is an emerging friction-based Additive Manufacturing (AM) technology allowing material to soften before the deposition, increasing the printing speed and reducing cost [1]. However, high power is required during the process, as excessive force is needed to extrude enough material through the printing head. This study investigates how extrusion angle and tool rotational speed affect thermal distribution and material flow in AFED to minimise power consumption. A three-dimensional computational fluid dynamics (CFD) model is proposed, and ANSYS ^® Workbench CFD code (Fluent) is used to discretise the CFD model. A User-Defined …

Sales Prediction In Omnichannel Distribution Systems Based On Consumer Behavior Using Process Mining And Arimax, Ferra Arik Tridalestari, Mustafid Mustafid, Ferry Jie, Hanung Nindito Prasetyo

Research outputs 2022 to 2026

Omnichannel distribution integrates multiple sales channels into a single management platform to enhance customer experience. However, the complexity of consumer behavior data across channels often prevents business owners from effectively analyzing and predicting sales. This study proposes a sales prediction model in omnichannel distribution systems based on consumer behavior using a collaborative approach that integrates process mining and autoregressive integrated moving average with exogenous variables (ARIMAX). Event log data from an omnichannel service provider were used to extract consumer activity patterns, which were then analyzed through process discovery algorithms to identify dominant behavioral processes. The resulting behavioral indicators served as …

Schools, Space And Atmospheres: The Value Of Student Videos In Negotiating Contested Spaces In New Urban Vertical Schools, Prue Miles, Kylie Boltin, Stuart Poyntz, Jill Willis

Research outputs 2022 to 2026

Voices of young people are essential in civic discourse about thriving futures. Yet dialogue can be complicated when the experiences of adults and young people are vastly different, for example in school spaces designed by adults in cities designed for adults. Vertical, highrise inner city schools represent this intersection. A new genre of school in Australia, vertical schools symbolise aspirations for young people and livable cities as designed by adults. This paper draws from data collected in the Thriving in Vertical Schools project to explore the importance of affective learning atmospheres for students, and the value of digital stories to …

Mapping Digital Confidence In Initial Teacher Education: A Rasch-Based Self-Audit Tool For Curriculum Improvement, Michael D. Carey, David A. Martin, Natalie Mcmaster, Kate Williams, Natalie Kidd

Research outputs 2022 to 2026

This study evaluates the effectiveness of a higher education initial teacher education (ITE) programme in preparing primary school preservice teachers (PSTs) to integrate information, communication, digital, and robotics technologies (ICDRTs) into classroom teaching. While situated in an ITE programme, the methodology, based on a Rasch-calibrated self-audit, offers an actionable approach to evaluating PSTs’ digital confidence and learning needs across higher education disciplines. Using a Rasch-validated 77-item self-audit instrument, responses from 490 final-year PSTs were analysed to identify curriculum gaps and assess the programme’s capacity to develop digital pedagogical readiness. Regression analysis examined associations between readiness and socio-demographic variables (sex, age …

No Screens Before Two: How First-Time Australian Parents Negotiate Enduring Digital Media Guidelines, Stephanie C. Milford, Emma Jayakumar, Harrison W. See, Lelia Green

Research outputs 2022 to 2026

Digital parenting guidance often fails to reflect early caregiving realities, particularly for first-time parents navigating screentime. Although professional guidelines have shifted from rigid time limits toward co-engagement and content quality, these shifts are inconsistently communicated and poorly absorbed into public discourse. Meanwhile, technopanic narratives fuel confusion, guilt, and social judgement. While some studies link extended screen use with adverse outcomes, we examine how correlational findings become blanket prescriptions in early caregiving. Drawing on two interview rounds and three focus groups with 23 Australian first-time parents of children aged birth-to-four, and informed by a socio-ecological approach, we explore how parents interpret …

Nurse Practitioner Students' Perceptions Of An Artificial Intelligence Differential Diagnosis Tool: A Pilot Study, Nilufeur Mckay, Peter Palamara, Adam Mccavery, Kaoru Nosaka, Wai Hang Kwok

Research outputs 2022 to 2026

Aim: The aim of this study is to assess nurse practitioner students' perceptions and engagement with Isabel's artificial intelligence (AI) based differential diagnosis tool to support their decision-making skills during their theoretical and clinical placement training. Design: This pilot study used a cross-sectional design. Methods: Twenty-six nurse practitioner students provided feedback on their use of an AI differential diagnosis tool in both academic and clinical contexts. This survey used the Post-Study System Usability Questionnaire to assess the engagement levels and usability of the AI tool. Additional questions were included to evaluate the usage patterns, adequacy in training and confidence in …

Effects Of Resistance Vs High Intensity Interval Training On Myokines And Cancer Cell Suppression In Breast Cancer Survivors: A Randomized Trial, Francesco Bettariga, Dennis R. Taaffe, Cristina Crespo-Garcia, Timothy D. Clay, Mauro De Santi, Giulia Baldelli, Sanjeev Adhikari, Elin S. Gray, Daniel A. Galvão, Robert U. Newton

Research outputs 2022 to 2026

Purpose: Reducing recurrence and mortality is crucial for breast cancer survivors. We investigated the effects of a 12-week resistance training (RT) vs high-intensity interval training (HIIT) program on myokines, cytokines secreted by skeletal muscle cells at rest in response to muscle contraction, and cancer cell inhibition. Methods: Twenty-eight survivors of breast cancer (age 55.5 ± 8.8 yr, body mass index 27.9 ± 5.1 kg/m², time since diagnosis 31 ± 12.3 months) were randomly allocated to a 12-week supervised moderate to high intensity RT (n = 14) or HIIT (n = 14) program 3 days per week. Resting blood …

Workplace Mistreatment: A Systematic Review Of Interventions And Future Research Agenda, Gillian Leake, Albert Amankwaa, Irene Elisabeth De Pater

Research outputs 2022 to 2026

Workplace mistreatment has garnered increasing attention from scholars and so has calls for research on interventions to prevent or reduce this phenomenon. However, there has been a lack of broad systematic approaches to studying interventions and existing reviews on workplace mistreatment interventions have predominantly focused on workplace bullying and incivility in the healthcare sector. To address these gaps and set an agenda for future interventions research, our review focuses on interventions for all forms of mistreatment and across industries and organizations. We reviewed 40 intervention studies from 38 articles finding a wide variety of interventions for specific forms of workplace …

Unifying To Advance Understanding: Collaborative, Community-Driven And ‘Open’ Approaches For Better Science In Sport, John Warmenhoven, Ian Shrier, Garrett S. Bullock, Alex O. Holcombe, Sophia Nimphius, Paolo Menaspà, Aaron J. Coutts, Franco M. Impellizzeri

Research outputs 2022 to 2026

Historically, sport science and medicine researchers have had difficulty obtaining adequate sample sizes, limiting their ability to make accurate generalizations to populations of athletes. To move towards better and more generalizable research, sport could look to other fields of research, and draw upon collaborative approaches for performing science. These include concepts such as big teams approaches for conducting experimental research, developing data repositories centred on a holistic inter-disciplinary view of the athlete and exploring privacy preserving meta-analytic inspired concepts such as federated analyses or pooled synthetic data. These approaches have enormous potential but do come with their own difficulties and …

Becoming A Nurse: A Lifelong Journey Beyond The Transition To Professional Practice-An Analytical Discursive Paper, Seung A. Park, Eckert, Rebecca Sharp, Judy Duchscher, Micah D.J. Peters

Research outputs 2022 to 2026

Aim: To reconceptualise becoming a nurse as a lifelong developmental journey that extends beyond the traditional focus on new graduate transition, and to inform policies and practices supporting recruitment, retention and career sustainability. Background: The global nursing shortage persists, exacerbated by high attrition rates among new graduates and an aging workforce. While existing literature predominantly examines the transition from student to professional practice, we propose that ‘becoming a nurse’ begins earlier and extends beyond clinical roles into retirement. Design: An analytical discursive paper. Data Sources: Key theoretical frameworks (Schlossberg's Transition Model, Kennedy's Integrated Transition Model, Benner's Novice-to-Expert framework and Duchscher's …

Rethinking Australian Teacher Education: A Reflective Tool For Culturally And Linguistically Sustaining Pedagogies, Sasha Janes, Paolino, Jane Merewether, Christine Cunningham

Research outputs 2022 to 2026

Australia’s cultural and linguistic diversity highlights a pressing need for teacher education programs to prepare educators who can effectively support plurilingual learners. At the same time, existing programs often fall short in building the pedagogic and linguistic knowledge required to counter dominant English-only norms. This study draws on the framework of culturally and linguistically sustaining pedagogies (CLSP) to explicitly centre plurilingual practices. CLSP is particularly relevant in the Australian context, where English-centric policies continue to marginalise First Nations (Aboriginal and Torres Strait Islander) knowledges and perspectives and plurilingual ways of knowing and being. We present findings from a national study …

Advances In Survival Analyses: Machine Learning Methods And Model Comparison, Ryan Gately, Dharshana Sabanayagam, Wai H. Lim, Lin Zhu, Farzaneh Boroumand, Shuvo Bakar, Armando Teixeira-Pinto, Germaine Wong

Research outputs 2022 to 2026

This is the second article in a 2-part series on survival analysis. In part 1, we discussed the core concepts and traditional methods used in survival analysis. Part 2 explores the novel approaches to predict survival outcomes and evaluate model performance. To facilitate hands-on learning and practical implementation, the R code used in these analyses is provided in the supplementary materials, along with instructions to help readers apply these methods to their data.

A Survey Of Nurses’ Knowledge Of Evidence-Based Guidelines For Indwelling Urinary Catheter Care, Linda Coventry, Michelle Gay, Amineh Rashidi, Anke Ebeling, Roshnika Fernando, Christine Hallauer, Manjari Jayarathna, Rashmi Shrestha, Blake Smith, Paige Watkins, Rosemary Saunders

Research outputs 2022 to 2026

Background: Urinary tract infections are one of the most common healthcare-associated infections, with catheter-associated urinary tract infections being a significant burden on healthcare systems globally. Aim: To assess nurses’ knowledge of evidence-based indwelling urinary catheter care and explore the barriers and facilitators of evidence-based indwelling catheter care. Design: A cross-sectional survey-based study of nurses in an acute private hospital in Western Australia was conducted from March 2021 to April 2021. Methods: Respondents were recruited using a convenience sampling method. The questionnaire included (1) demographics, knowledge of: (2) indications, (3) catheter care, (4) catheter-associated urinary tract infections prevention, and two open-ended …

Embodied Tales Of Older Women And Their Relationship With Movement And Their Younger, Present And Future Selves, Valeria Varea, Robyne Garrett, Alfonso García-Monge, Gustavo González-Calvo

Research outputs 2022 to 2026

Ageing has been often seen as negative in Western cultures. Older bodies are frequently associated with decline, loss, dependency, illness and increasing incompetence. Significantly, this ‘decline model’ of ageing tends to ignore the diverse lived experiences of older adults. This paper draws on the theoretical concepts of embodiment and affect to explore the embodied experiences of a group of 17 older women, focussing on their relationship with movement and with their younger, present and future selves. We used a narrative analysis approach and creative nonfiction to represent the data. The findings are presented in composite narratives in the form of …

Experimental Investigation And Performance Optimization Of A Double Slope Solar Still Integrated With Nanoparticles In Phase Change Materials, Pronob Das, Md Shahriar Mohtasim, Utpol K. Paul, Md Sanowar Hossain, Barun K. Das, Anik Saha, Md Golam Kibria

Research outputs 2022 to 2026

By utilizing solar energy for desalination, solar stills offer a sustainable and cost-effective means of providing fresh drinking water in remote and arid regions. Existing studies have primarily focused on improving freshwater productivity while considering economic and environmental feasibility. The present work offers an in-depth assessment of solar still (SS) systems by analyzing energy and exergy performance, exergoeconomic factors (energy-economic factor, exergoeconomic factor, and cost of water), environmental impacts (CO2 emissions, exergo-environmental factor, and carbon credit gained), and sustainability indicators (energy payback time and sustainability index). Five different cases were examined: (I) a conventional solar still (CSS), (II) CSS with …

Gut Microbial Composition And Short-Chain Fatty Acid Metabolism In Cognitively Unimpaired Adults Stratified By Amyloid-Β Status, D. M.Sithara Dissanayaka, Thilini N. Jayasinghe, Hamid R. Sohrabi, Stephanie R. Rainey-Smith, Kevin Taddei, Colin L. Masters, Ralph N. Martins, W. M.A.D.Binosha Fernando

Research outputs 2022 to 2026

Short-chain fatty acids (SCFAs) produced by gut microbial fermentation influence host metabolism and neuroinflammatory processes implicated in Alzheimer’s disease (AD). However, the relationship between fecal SCFAs, microbial taxa, and cerebral amyloid-β (Aβ) burden in cognitively unimpaired individuals remains unclear. Fecal SCFAs were quantified using GC-MS, and microbial species were profiled by shotgun metagenomics in 87 participants. Associations between SCFAs, demographics, APOE ε4 status, and Aβ burden were tested using nonparametric statistics and multivariable regression. Microbial–SCFA links were evaluated using Spearman correlations and multivariate ordinations, with mediation analysis exploring potential indirect pathways. Acetate was the predominant SCFA and demonstrated the most …

Paternal Age Is Associated With Offspring Bone Health—But Not Soft Tissue Composition Or Fracture: The Vitamin D In Pregnancy Study, Mia A. Percival, Kara B. Anderson, Julie A. Pasco, Marc Sim, Sarah M. Hosking, John D. Wark, Natalie K. Hyde

Research outputs 2022 to 2026

Summary: Emerging evidence suggests that paternal health may be associated with offspring later life heath. In this study, advanced paternal age at childbirth was associated with poorer offspring bone mineral density and content at age 11 years. These findings suggest that paternal age may impact childhood musculoskeletal development, warranting further investigation. Introduction: Maternal health during pregnancy is known to impact offspring’s later life health. However, emerging evidence suggests that paternal factors may also be important. Advanced paternal age is associated with poorer offspring outcomes, yet few studies assess musculoskeletal outcomes. This study investigated the association between paternal age at childbirth …

Rapid Classification And Quality Assessment Of Citrus Essential Oils Via Machine-Learning-Assisted Raman Spectroscopy, Yong Xuan Hong, Jia Wei Tang, Jie Chen, Yun Yun Xie, Zhang Wen Ma, Qing Hua Liu, Liang Wang

Research outputs 2022 to 2026

Citrus essential oils (EOs) require accurate identification and assessment to ensure authenticity and consistency. However, conventional techniques such as gas chromatography (GC) and mass spectrometry (MS) are time-consuming and expensive, highlighting the need for novel analytical methods. This study proposes an approach for EOs detection using Raman spectroscopy (RS) combined with machine learning (ML) algorithms. Six citrus EOs underwent an evaporation experiment, with Raman spectra collected at five time points and GC-MS was used to analyze compositional changes at the starting and ending points of evaporation as a standard reference. Five ML algorithms were developed to identify differences among EOs …

Constraining Citizenship: Presidential Threshold In Indonesia’S Judicial Framework, Arfan Yanayir Akbar Sabillilah

Jurnal Hukum & Pembangunan

This research critically evaluates the constitutionality of Indonesia's Presidential Threshold as regulated by Article 222 of Law No. 7/2017, requiring political parties or coalitions to secure 20% of DPR seats or 25% of national valid votes for presidential nominations. The term “Presidential Threshold” follows Constitutional Court jurisprudence, distinguishing it from the election threshold in Article 6A(3) requiring 50%+1 votes to win the presidency and the parliamentary threshold in Article 414 requiring 4% of votes for legislative seat allocation. Through normative legal analysis of Constitutional Court decisions No. 51-52-59/PUU-VI/2008, 53/PUU-XV/2017, and 62/PUU-XXII/2024, this study examines 33 judicial reviews from 2017 to …

Integrating Environmental Awareness In Underwater Acoustic Networks: A Comprehensive Review, Sadaf Vahabli, Iftekhar Ahmad, Quoc Viet Phung, Daryoush Habibi, Walid K. Hasan, Ruba Zaheer

Research outputs 2022 to 2026

Underwater Acoustic Networks (UANs) are critical for enabling long-range underwater communication, supporting a wide range of applications, such as environmental monitoring, resource exploration, disaster prevention and marine security. Unfortunately, UANs operate within a limited acoustic spectrum, where these spectrums often overlap with those used by marine animals for communication, navigation and foraging. Additionally, anthropogenic noise from industrial activities contributes to acoustic pollution, intensifying this problem. This frequency overlap poses significant risks to marine life. Therefore, this review highlights the urgent need to develop environmentally aware UANs that minimize harmful acoustic interference with marine mammals, fish and invertebrates. Further, it focuses …

Metaverse And Artificial Intelligence As Web 4.0: The Next Generation Of The Internet, Anton Klarin, Elena Gorenskaia, Qijie Xiao, Pi-Shen Seet

Research outputs 2022 to 2026

This study utilizes systems thinking to explore and entwine an evolving metaverse scholarship to a relatively underexplored phenomenon of Web 4.0. We adopt a soft systems thinking framework to guide the interpretation of complex and evolving metaverse scholarship, using bibliometric mapping of 5587 publications sourced from Scopus. Using systems thinking, we synthesize these clusters into the following four thematic areas: (i) business and society implications, (ii) optimization, (iii) integration with other technologies and (iv) metaverse education. Drawing on the largest-to-date review of the metaverse as well as a systematic review of Web 4.0 literature, we propose a novel conceptualization of …

Performance Investigation Of Microchannel Heat Sink With Biomimetic Trefoil Cavities On Different Walls, Sadiq Ali, Numan Habib, Faraz Ahmad, Aamer Sharif, Ana Vafadar

Research outputs 2022 to 2026

The modern world is shifting towards digitalization and miniaturization, leading to higher flux densities in electronic components and machines. However, conventional cooling methods, such as air-cooled smooth channels, are proving inadequate for removing the huge amounts of heat generated, thereby compromising the reliability and operational lifespan of electronic systems. This necessitates urgently exploring and analyzing modern techniques like microchannel cooling to improve its efficiency. This work uses ANSYS to conduct numerical simulations and investigates the heat transfer and flow behavior in a microchannel heat sink. The smooth channel is used to investigate and validate the flow behavior with the available …

Exploring New Poly-Anion Based Materials For Lithium – Ion Battery Cathodes, Sutapa Bhattacharya

Doctoral Dissertations

The escalating global demand for sustainable energy storage solutions has driven intensive research into novel electrode materials. Polyanion-based cathode materials have emerged as promising candidates due to their structural stability, safety, and voltage tunability enabled by the inductive effect of polyanionic groups. This research explores the synthesis, crystal structure, and electrochemical performance of new polyanion-based cathode materials featuring vanadium, molybdenum, and iron within phosphate and selenite frameworks.

Novel selenite-based materials, such as LiFe(SeO₃)₂ and Li₀.₂₅V₂O₃(SeO₃)₂, were synthesized and characterized, revealing stable electrochemical cycling associated with Fe2+/Fe3+ and V⁴⁺/V⁵⁺ transitions. Additionally, a systematic investigation was conducted on molybdenum phosphate compounds, including …

Manufacturing And Performance Evaluation Of Carbon/Epoxy Laminated Composites Cured Using Single- And Six-Magnetron Microwave Applications, Nayan Pundhir

Doctoral Dissertations

Microwave curing is fast, energy-efficient, and a viable alternative to conventional thermal curing processes. It has been widely adopted for processing carbon fiber-reinforced polymer (CFRP) composites because the high electrical conductivity of carbon fibers enables strong microwave coupling, leading to rapid volumetric heating and reduced energy consumption. The aim of this study is to investigate the use of microwave curing for manufacturing CFRP composites. IM7/Cycom 5320-1 unidirectional prepreg was utilized to fabricate laminated composites in two thickness ranges: 16-layer laminates (2.5 mm thickness) and 64-layer laminates (9.2 mm thickness). Two lay-up configurations were examined: symmetric cross-ply and quasi-isotropic. Different curing …

Adaptive Machine Learning Framework For Microstructural Optimization And Mechanical Performance Prediction In Steels, Henry Adekola Haffner

Doctoral Dissertations

Evolution of microstructures, such as polygonal ferrite, acicular ferrite, bainite, and martensite, plays a pivotal role in determining the final microstructural and mechanical properties of steel products. Given the established inter-relationship between processing parameters, microstructure, properties, and performance, precise control of phase transformation is essential to achieve pre-determined properties. To understand transformation routes in different steel grades, time-temperature-transformation (TTT) and continuous-cooling-transformation (CCT) diagrams are necessary and can be described using the Johnson-Mehl-Avrami-Kolmogorov equation and Scheil’s additivity rule. This study presents a comprehensive computational framework for predicting and optimizing microstructure and mechanical properties in advanced high-strength steels (AHSS) using adaptive machine …

Geometric Effects Of Warfighters On Body Armor Fit And Protective Capabilities Against Shock Wave Energy, Melissa Lynn Sutter

Doctoral Dissertations

Body armor is a vital piece of protective equipment for warfighters to defend against threats, necessitating continued development to improve comfort, weight, and protection. However, female warfighters often wear unisex body armor, designed primarily for the male torso. Current research has evaluated the short- and long-term detriments of female warfighters wearing these armors, focusing on comfort and performance. However, these studies do not comprehensively consider how a non-form-fitting armor compromises warfighter safety from battlefield threats. This research examines the geometric effects of female warfighters on armor protection level when defending against shock threats by evaluating the energy distribution on a …

Zirconium Carbide Based Materials For Extreme Aerospace Environments, Nathaniel Hyman Blatt

Doctoral Dissertations

This research focuses on the processing and properties of zirconium carbide-based materials to promote their use in extreme environment aerospace applications, including nuclear thermal propulsion and hyper sonics. Several carbide systems including ZrC, ZrC-Mo cermets, (Zr, Nb)C, and a high entropy carbide were developed. The ZrC-Mo cermet was studied extensively to understand the effect of starting carbide grain size on the final microstructure, composition, elastic moduli, hardness, fracture toughness, room and elevated temperature flexural strength, thermal diffusivity, electrical resistivity, thermal expansion coefficient, and thermal conductivity. It was shown that heat transport in the cermets was dominated by the ZrC phase …

Investigations In Hydrogen Ironmaking, Joseph William Govro

Doctoral Dissertations

The purpose of this research is to contribute to the Grid Interactive Steelmaking with Hydrogen (GISH) project. This research investigates the viability of both producing and melting Direct-Reduced Iron (DRI) utilizing hydrogen. Conventional CO reduced DRI will be referred to as “C-DRI” and DRI produced using hydrogen gas will be referred to as “H-DRI”.

An H-DRI pilot plant was constructed in Golden Colorado. The pilot plant was commissioned and successfully operated four campaigns. Process improvements were made throughout the campaigns and the process was optimized. In addition to running the pilot plant in a pure hydrogen condition, the pilot plant …

Trust-Aware Algorithms For Stackelberg Ground Vehicle Routing, Doris Evelyn Meredith Brown

Doctoral Dissertations

Despite decades of research focused on reducing ground vehicle traffic congestion, urban traffic networks worldwide continue to experience traffic flows that lead to increased network travel times, largely resulting from the routing decisions of individual vehicles. To address this challenge, this work leverages a Stackelberg game framework to model the interaction between a vehicle agent and a routing authority as a leader–follower game, in which the routing authority proposes routing interventions to which the agent responds. This research contributes to existing traffic mitigation literature by exploring the role of trust in route decision-making and providing trust-aware algorithms that influence vehicle …