Digital Commons Network^™

Cardiovascular–Kidney–Metabolic Syndrome Through The Lens Of Gut‑Derived Uremic Toxins, Chudan Xu, Matthew Snelson, Francine Z. Marques

Research outputs 2022 to 2026

Cardiovascular–Kidney–Metabolic (CKM) syndrome represents a complex, interconnected cluster of cardiovascular disease, chronic kidney disease, and metabolic disorders such as obesity and type 2 diabetes. These conditions share overlapping metabolic, inflammatory, and vascular pathways, with the gut microbiome increasingly recognised as a key contributor and common underlying risk factor. Uremic toxins, traditionally considered waste products of host and microbial metabolism, are now recognised as active mediators of tissue damage across the CKM spectrum, particularly in the context of impaired renal function. Their production and accumulation are amplified by disrupted intestinal barrier integrity, chronic inflammation, and reduced renal clearance, collectively driving systemic …

Design And Technology Pre-Service Teachers’ University Course Lived Experiences In Western Australia, Carol K. Puddicombe, Nicola F. Johnson

Research outputs 2022 to 2026

Design and Technology (D&T) education, historically rooted in industrial and manual arts, now integrates design-focused thinking with the practical processes of prototyping and making. Drawing on a doctoral study, this article examines the university course experiences of ten pre-service D&T teachers in Western Australia and how these shaped emerging beliefs and professional identities. Using an interpretivist framework and interpretative phenomenological analysis, interviews with ten final-year pre-service teachers were analysed. Five interrelated themes are examined in this article: knowledgeable lecturers, hands-on practical learning, curriculum breadth, peers, and internal concerns. The findings highlight the importance of current, school-connected lecturers; structured learning that …

Dropouts And Refusers: Clinicians’ Insights And Initiatives Into Reducing Treatment Attrition Amongst Young People Who Sexually Offend, James L. Finney, Natalie Gately, Suzanne Rock, Jocelyn Jones

Research outputs 2022 to 2026

Sexual offending by young people causes significant harm to victims, families and communities. Treatment engagement and completion are therefore important for reducing future harm; however, young people who drop out of, or refuse to engage in, treatment present a unique challenge for clinicians and justice systems. Drawing on Bronfenbrenner’s (1979) ecological systems theory, this study explored clinicians’ perspectives on the barriers to treatment engagement and completion for young people who have sexually offended in the Australian context. Semi-structured interviews were conducted with clinicians who provided or facilitated treatment for young people who had sexually offended (N = 22). Two major …

Numerical Investigation Of The Influence Of Fiber Content On The Shear Performance Of Uhpc Deep Beams Reinforced With Hybrid Steel And Synthetic Fibers, Hossein Mirzaaghabeik, Sanjay Kumar Shukla, Nuha S. Mashaan

Research outputs 2022 to 2026

This study investigates the shear performance of ultra-high-performance concrete deep beams (UHPC-DBs) reinforced with hybrid fibers comprising 5D steel fibers and Forta-Ferro (FF) synthetic fibers. UHPC-DBs are widely used in bridges, piles, and transfer girders because of their high load-bearing capacity. Although fiber content strongly influences shear behavior, the contribution of synthetic fibers in hybrid systems remains insufficiently understood. To address this gap, finite element analysis based on the concrete damage plasticity (CDP) model was developed in ABAQUS and validated using experimental results from five previously tested UHPC-DBs with different fiber contents. Load–deflection response, crack patterns, shear capacity, mid-span deflection, …

Optimizing Subgroup Selection In Petrochemical Industries: A Robust Data Envelopment Analysis Approach For Uncertainty Management, Sadegh Niroomand, Hilda Saleh, Morteza Shafiee, Dragan Pamucar, Ali Mahmoodirad

Research outputs 2022 to 2026

This study addresses the critical challenge faced by organizations in selecting an optimal subgroup of decision-making units (DMUs). Such a selection procedure can significantly influence efficiency, profitability, and strategic development. Recognizing the limitations of existing methods in handling inexact data and incorporating managerial preferences, this study proposes a novel framework that integrates data envelopment analysis (DEA) with binary linear programming models. The model applies belief-degree–based representations of uncertainty to capture imprecise inputs and outputs. For this model, two solution approaches—namely, chance-constrained programming and expected value approaches—were developed. These approaches are suitable for real-world applications using standard optimization software. The effectiveness …

Precarity On The Move: The Relative Economic Precarity Of Mobile Youth Moving To Australia, Lara Mckenzie, Anita Harris, Loretta Baldassar

Research outputs 2022 to 2026

Analyses of precarity often focus on how insecure employment, careers, finances, and geographies influence people’s lives for the worse, with young people understood as especially precarious in their economic stability and transitions to adulthood. This article analyses accounts of precarity amongst middling transnationally mobile youth, drawing from 24 semi-structured interviews incoming to Australia, and longitudinal survey data. We show that experiences of economic precarity are impacted by their access to work, government support, ability to access or sustain visas, and access to support from family and partners. By drawing on migration scholars’ observations that transnational mobility can be privileged and …

Role Of Ethical Principles And Ai Characteristics In Shaping Generative Ai Use In Higher Education And Its Impact On Academic Performance, Mostafa Al-Emran, Mohammed A. Al-Sharafi, Behzad Foroughi, Noor Al-Qaysi, Nelson K.Y. Leung, Zaher Mundher Yaseen, Nor’Ashikin Ali

Research outputs 2022 to 2026

The rapid integration of Generative AI in higher education has transformed teaching and learning, yet limited research explores the factors driving its adoption and impact on academic performance. This study addresses the gap in understanding how ethical principles (fairness, accountability, transparency, accuracy, autonomy) and AI characteristics (perceived anthropomorphism, perceived intelligence) influence students’ use of Generative AI tools and their subsequent academic outcomes. The research aims to develop and test a theoretical model that integrates these factors to explain Generative AI adoption and its effect on perceived academic performance among university students. Data were collected through surveys from 318 students and …

Supporting Displaced Students With Disabilities In Post-Secondary Education: An International Scoping Review, Tetiana Bogachenko, Jia Xu, Larysa Klymanska, Nadia Chubko

Research outputs 2022 to 2026

Students with disabilities who are forced to leave their homes due to armed conflict, persecution, environmental crises, or other forms of involuntary displacement, within their country or internationally, face compounded barriers to accessing and succeeding in post-secondary education. Yet, their experiences, educational trajectories, and the supports available to them remain underexplored. This scoping review examines existing empirical research on the experiences of students with disabilities in post-secondary education who come from forced migration backgrounds. By addressing the intersection of disability, displacement, and post-secondary education, this review highlights the unique challenges faced by this population as well as supports identified as …

The Basis For Recommending The Selection Of Samplers In Determining Occupational Exposures To Aerosols, Martin Harper, Pieter Bertier, Marcus Cattani, Karen Galea, Darrah Sleeth, Steven Verpaele

Research outputs 2022 to 2026

Measurements are considered to be the basis of exposure assessments used to determine risks to workers. Inhalation exposure poses the greatest risk for most airborne chemicals, and measurements are based on collecting (sampling) and analyzing air samples. Samplers have been developed for more than 120 years. Each new design has been intended to address flaws perceived in earlier designs. Users are faced with a varied array of samplers from which to choose. Comparisons are difficult to make because tests of sampler performance were not standardized until recently and have not been applied consistently. The existing large body of work does …

What Are Information Literacy Skills? Western Australian Primary Teachers’ Interpretations Of The Ict Curriculum, Louise Moroney, Vaille Dawson

Research outputs 2022 to 2026

Teachers must equip students to navigate an increasingly complex world of unique challenges and opportunities, necessitating the development of a diverse range of transferable skills. These skills are embedded in the General Capabilities (GC) of the Australian school curriculum. Upper primary school teachers’ interpretations of one of the GC, Information and Communication Technology (ICT) learning progressions, was examined, as these skills have become increasingly important with the rise in generative and assistive artificial intelligence. Using an interpretivist paradigm, an exploratory study was used to determine the areas where 36 teachers differed in their interpretations of the learning progression. Data collected …

Students’ Experiences Of Living With Adhd At University: A Meta-Ethnography, Maree Mestichelli, Elisa Pepall, Thuy Tran, Mandy Stanley, Amy Cairns, Therese A. O’Sullivan

Research outputs 2022 to 2026

While the prevalence of attention deficit hyperactivity disorder (ADHD) among university students varies depending on the population studied, it has been estimated at approximately 16%. University students with ADHD may find that the condition affects their academic performance, social interactions, and well-being. This meta-ethnographic review synthesizes findings from 25 qualitative studies to explore the lived experiences of university students with ADHD. The studies, published between 2000 and 2023, were predominantly conducted in the United States with sample sizes ranging from 4 to 135 students. Students came from a broad range of academic disciplines and included undergraduates, recent graduates, and attendees …

Beyond Compliance: Transformative Co-Design For Gender-Based Violence Prevention In Higher Education, Narelle Lemon, Christina Gray, Jason Goopy, Lisa Holmes, Bec Ball, Melissa Perry, Elisa Fear

Research outputs 2022 to 2026

This study examines how university staff and students experience transformative learning through voluntary participation in a gender-based violence (GBV) prevention programme that transcended compliance-oriented approaches. While universities increasingly rely on mandatory modules that fail to create sustainable change, this research investigates whether self-nominated participation and co-design pedagogy can foster genuine transformation and voice development among participants from diverse disciplinary backgrounds. A qualitative multi-method design examined eight university students (aged 18–24) at an Australian university through pre-post focus groups, observational field notes, and artefact analysis. Participants voluntarily engaged in workshops co-designing peer-focused social media prevention messaging. Inductive thematic analysis identified patterns …

Combined Effect Of Porosity And Pore-Size Heterogeneity On Young’S Modulus Of Chemically Corroded Rocks, Hao Li, Zhenjiang You, Leo Pel, David Smeulders

Research outputs 2022 to 2026

Young’s modulus is a critical parameter for evaluating the stability of rock reservoirs, such as CO₂ geological storage. These reservoirs are exposed to chemically corrosions, which alter the pore structure, particularly porosity and pore size heterogeneity, thereby affecting Young’s modulus. This study conducted multiscale experiments to investigate how acid-driven chemical corrosion affects pore structure and its relationship with the Young’s modulus of rocks. Nuclear Magnetic Resonance (NMR) was used to characterize pore structure evolution, while corrosion mechanisms were examined via mass loss, XRD, pH monitoring, and ion chromatography. Based on the experimental results, a Kinetic Weibull Modulus (KWM) model was …

Decoupling Sustainability And Performance: How Government Infrastructure Projects In Australia Fare On Strategic Environmental Commitments, Richard Hughes, Kerry Brown

Research outputs 2022 to 2026

Australian government organisations are pivotal in helping to meet the United Nations sustainable development goals. Yet while these organisations promote sustainability in their strategic plans, they struggle to embed these same commitments into their own infrastructure and construction projects. This study examines this persistent disconnect using the lens of strategic decoupling, which explains how organisations symbolically align with external expectations while internal practices remain unchanged. Using a two-stage qualitative design, we conducted a positivist discourse analysis of strategic artefacts from six government organisations and a theoretically informed interpretivist analysis of 30 interviews with project professionals, framed by strong structuration theory. …

Influence Of Rice Hull Biochar And Cedar Bark Media On Strawberry Productivity And Carbon Sequestration Potential In Hydroponic Systems, Sakalya Rajapakse, Munehiro Tanaka

Research outputs 2022 to 2026

This study evaluated the influence of rice hull biochar (RHB) and cedar bark media (CBM) as sustainable substrates for hydroponic strawberry cultivation. The total yield from virgin CBM was 413 g/plant and that from virgin RHB was 354 g/plant. Used CBM increased the yield by 4 % (429 g/plant) while used RHB increased yield by 18 % (419 g/plant) compared to the virgin, with no significant substrate differences. Fruit yields and physical properties were strongly correlated, particularly with particle density (R2 = 0.573). After 7 years of cultivation, plant residues had accumulated in both substrates. Uncarbonized carbohydrates in RHB indicated …

Assessing The Application Of Optical-Photothermal Infrared Spectroscopy For Single-Grain Chemical Palynology, Laura Scoble, Hao Meng, Simon J. Ussher, Mark F. Fitzsimons, Lauren Ansell, Mustafa Kansiz, Billy Simmonds, Nick Stone, Ralph M. Fyfe

School of Geography, Earth and Environmental Sciences

Single-grain pollen analysis is essential for advancing chemical palynology, which classifies morphologically similar taxa based on taxon-specific pollen and sporopollenin chemistry. Fourier-Transform Infrared (FT-IR) spectroscopy and microspectroscopy (μFT-IR) are widely used to differentiate morphologically similar grains but face limitations from Mie scattering and coarse spatial resolution. Here, we present the first application of Optical-PhotoThermal Infrared (O-PTIR) spectroscopy to chemically treated single pollen grains, using Molinia caerulea as a model taxon to fully test and evaluate the technical capabilities and limitations of this technique. O-PTIR achieves sub-micron “super-resolution” infrared spectroscopy through non-contact, non-destructive measurements by exploiting the photothermal effect. O-PTIR spectra …

Rock On Technology: Perspectives Of People With Neurological Conditions On Robot-Assisted Lower Limb And Gait Neurorehabilitation, Rachel G. Buckingham, Saran Chamberlain, Amanda Timler, Matthew K. Bagg, Nikki E. Bakhtazad, Taya Hamilton, Patricia Martinet, Bianca Haagman, Stuart I. Hodgetts, Barbara Singer, Ann Maree Vallence, Jodie Marquez, Eric Gaitho, Emma Gee, Jessica Nolan

Research outputs 2022 to 2026

Purpose: Explore perspectives of people living with neurological conditions in Western Australia (WA) on robot-assisted lower limb neurorehabilitation (RALLR), and implementation requirements. Materials and methods: This co-designed, qualitative descriptive study included people living with neurological conditions. In-person semi-structured focus groups (FGs) were facilitated by a person with lived experience of stroke. FGs were recorded, data were transcribed, and thematically analysed using a reflexive approach. Results: Five FGs included 24 participants (54.2% women, median age 50 years). Of these, thirteen participants had RALLR experience. Primary neurological conditions represented among participants comprised spinal cord injury (n = 11), stroke (n = 3), …

Nutrient Legacy And Cycling In The Somerset Levels And Moors, Oscar Kemble, Paul Lunt

School of Geography, Earth and Environmental Sciences

1. Executive summaryThe Somerset Levels and Moors (SLMs) are one of the UK’s most extensive and ecologically significant lowland wetland systems, supporting internationally important bird populations and nationally important assemblages of wetland plants and invertebrates. However, the ecological condition of the SLMs Ramsar and underpinning SSSIs has deteriorated in recent decades, driven primarily by phosphorus (P) enrichment. In 2021, Natural England downgraded the SLMs to “unfavourable declining”, citing persistent eutrophication, floating plant dominance, and loss of submerged macrophytes as key symptoms.This review synthesises current evidence and provides critical overviews for the following themes: (1) The Somerset Levels and Moors (SLMs) …

Algorithm Envelopment In Platform Markets, Liang Chen, Zhou Zhou, Lester Chan

Research Collection Lee Kong Chian School Of Business

The theory of platform envelopment rests on network effects as the key mechanism for value creation, which nonetheless receives mixed support for its efficacy in determining competitive outcomes. We argue that the value of network effects depends on matching quality, which is a function of platform-specific algorithm technology and market-level data-driven learning. In formalizing these conceptualizations, we analyze a model that demonstrates how an entrant with a superior algorithm technology may outcompete an incumbent possessing a user base advantage, a strategy we call “algorithm envelopment.” By considering specific characteristics of data-driven learning, our analysis leads to propositions regarding the entry …

Los Estudios Latinoamericanos Ante El Renacimiento Psicodélico, Alberto Ribas-Casasayas

Modern Languages & Literature

The chapter analyzes erasures and appropriations that the discourse of the psychedelic renaissance arising in the Global North imposes on long-standing practices in indigenous societies and countercultural environments. It also suggests ways in which a critical Humanities can, from a Latin American perspective, offer more inclusive understandings of the psychedelic experience.

El capítulo analiza las oclusiones y apropiaciones que el discurso del renacimiento psicodélico en el Norte global impone sobre prácticas de largo recorrido en sociedades indígenas y entornos contraculturales.  También sugiere formas en que unas humanidades críticas pueden, desde una perspectiva latinoamericanista, ofrecer comprensiones más inclusivas sobre la experiencia …

Influence Of Surface Features On Heat Transfer During Dropwise Condensation Over Superhydrophobic Surfaces In Shear Flow, Shaur Humayun, R. Daniel Maynes, Julie Crocket, Brian D. Iverson

Faculty Publications

This study investigates heat transfer during dropwise condensation (DWC) on superhydrophobic (SH) surfaces in humid air shear flow, emphasizing the effect of increased drop mobility and the influence of surface micro/nanostructure on heat transfer rates. Experiments were conducted on smooth hydrophobic, microstructured SH, nanostructured carbon-infiltrated carbon nanotube (CICNT) surfaces, and two-tiered SH surfaces with both micro and nanostructures. Heat transfer rates were measured under humid air flow rates in the range of 2–4 CFM. Experimental results demonstrate that surfaces with nanostructure (including two-tiered structures) exhibit increased drop mobility and coalescence-induced drop jumping, enhancing drop removal rates and overall heat transfer …