Digital Commons Network^™

Employer Perspectives On Graduates’ Professional Identity Formation In The Workplace, Denise Jackson, Michael Tomlinson

Research outputs 2022 to 2026

Professional identity (PI) is recognised as a crucial dimension in how graduates negotiate the transition to employment and move towards a pathway of sustainable professional development. Perspectives on PI have been derived mainly from higher education students with little attention given to the perspective of employers involved in supporting and supervising graduates in the workplace. Accordingly, the study surveys 339 industry professionals to examine their perceptions of how formed graduates’ PI is at different times after recruitment and the influence of personal, organisational and external factors on identity formation at work. Employers recognised how a well-formed PI enables graduates to …

Fostering Authentic Corporate Social Responsibility Through Place-Based And Relational Methodologies In Mining Governance: A Global Synthesis, Mehran Nejati, Eduardo Ordonez-Ponce, Rumen Rachev, Belen Lopez Vazquez

Research outputs 2022 to 2026

Purpose: As the global economy shifts towards low-carbon development, sustainable mining practices are becoming increasingly vital for balancing resource extraction with environmental and social responsibilities. This study aims to critically evaluate how traditional corporate social responsibility (CSR) frameworks fall short in addressing power asymmetries and territorial impacts, and to explore how place-based and relational methodologies can foster authentic corporate social responsibility (ACSR) in mining governance.

Design/methodology/approach: This review synthesises findings from 77 peer-reviewed studies published between 2015 and 2025, covering diverse global mining contexts. The analysis identifies transformative themes through a qualitative meta-synthesis approach, focusing on governance practices that empower …

From Flexibility To Friction: Intended And Unintended Consequences Of Hot-Desking In Workplaces, Cheuk Hang Au, Lin Yue, Siqi Gao, Guanglei Cheng

Research outputs 2022 to 2026

Purpose: This study aims to theorize the tensions of hot-desking. Moving beyond its surface-level effects, we explain its complex impact on employee well-being and organizational conflict.

Design/methodology/approach: Using a multi-platform netnographic approach, we analyzed unsolicited discussions from online communities to capture diverse, authentic experiences across Eastern and Western contexts.

Findings: Grounded in technology affordance and constraints theory (TACT), our central finding is that hot-desking's affordances and constraints are dynamically co-produced. The organizational affordance of space efficiency is directly experienced by employees as a constraint of spatial insecurity and resource deprivation. This core tension fuels emergent social conflicts, such as senior …

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 …

Load-Settlement Behaviour Of Tailings Dam Foundation Strengthened Using The Wraparound Geosynthetic Reinforcement Technique, Francis Otieno, Sanjay Kumar Shukla

Research outputs 2022 to 2026

This paper presents a numerical investigation of the load–settlement behaviour of a geosynthetic-reinforced tailings foundation comprised of gold tailings, subjected to the weight of a tailings dam embankment. The study considered varying conditions, including the horizontal and vertical components of the wraparound reinforcement, reinforcement burial depth, and shear strength parameters of the foundation material. A particular focus of this study is to investigate the effect of reinforcement wraparound ends on the settlement behaviour of the foundation using commercially available finite element (FE) software. The reinforcement is a single-layer biaxial woven geotextile, with and without wraparound ends, at varying depths from …

Machine Learning Prediction Of Incident Hypertension In Australian Men: Integrating Survey, Pharmaceutical And Healthcare Utilisation Data From The Ten To Men Cohort, Ebenezer Afrifa-Yamoah, Emmanuel Peprah-Yamoah, Victor Opoku-Yamoah, Eric Adua

Research outputs 2022 to 2026

Background: Hypertension is a leading modifiable contributor to cardiovascular disease. We developed and evaluated machine learning models to predict incident hypertension in Australian men using baseline survey data linked to pharmaceutical (PBS) and healthcare utilisation (MBS) administrative records from the Ten to Men cohort.

Methods: Among 13,519 men free of hypertension at baseline (2014), incident hypertension over 10 years was ascertained from PBS antihypertensive dispensing. Twenty-five baseline features spanning sociodemographic, anthropometric, lifestyle, clinical and administrative domains were used to train logistic regression, random forest, gradient boosting and XGBoost models, evaluated by five-fold cross-validation with out-of-fold prediction. Discrimination, calibration and threshold-based …

Multi-Scale Sensor-Aware Variational Autoencoders For Adaptive Iot Security: Integrating Drift Calibration And Cyberattack Detection, Md Kamal Hossain, Iftekhar Ahmad, Daryoush Habibi

Research outputs 2022 to 2026

Existing approaches to Industrial Internet of Things (IoT) anomaly detection treat sensor drift calibration and cyberattack detection as separate problems, overlooking their strong interdependence and the compound failure modes that arise when drift dynamics are exploited by stealthy adversaries. Industrial Internet of IoT sensor networks therefore require a unified framework that jointly models both phenomena. This paper proposes the first unified multi-scale sensor-aware variational autoencoder (MS-VAE) framework that jointly models sensor drift and malicious activity within shared latent representations, enabling integrated calibration and security monitoring. The framework introduces three key components: (i) a multi-scale latent architecture that captures short-term anomalies …

Nurses' Perceptions Of Their Non-Technical Skills In Recognising And Responding To Clinical Deterioration In Hospital Settings: A Systematic Review, Darlene Archer, Amineh Rashidi, Rajbeer Kaur, Allison Roderick, Olivia Gallagher

Research outputs 2022 to 2026

Aim: To understand nurses' perceptions of non-technical skills in recognising and responding to clinical deterioration in hospital settings.

Design: A mixed methods systematic review was undertaken, guided by the Joanna Briggs Institute Manual for Evidence Synthesis.

Methods: A systematic search of the primary research literature published between 2012 and October 2025 was undertaken. A convergent integrated approach to synthesis, without meta-analysis, was undertaken.

Data Sources: The MEDLINE, CINAHL, Scopus, PsychInfo and Embase electronic databases were searched. Reference lists of full-text articles retrieved were reviewed for additional data sources.

Results: Twenty-four primary studies were included. Narrative synthesis resulted in six main …

Practising Digital Product Passport For Circular Supply Chain: Ecosystem Orchestration Perspective, Martin Agyemang, Daniel Faibil, Richard Asante, Cristina Iodice

Research outputs 2022 to 2026

Digital product passports (DPP) are emerging as an important tool to support industries in realising circular supply chain (CSC) practices. However, small and medium-sized enterprises (SMEs) remain constrained by various challenges in implementing DPP. Therefore, using social practice theory and ecosystem orchestration perspective, the study identifies factors essential for DPP-enabled CSC implementation by SMEs. The study proposes an actionable framework to classify and operationalise these factors. We collected data from managers and analysed it using the Best–Worst Method and Fuzzy-DEMATEL to understand the interdependence, coordination and temporal adaptation of the factors. The findings show that material factors are particularly salient …

Protomix: Unified Prototype Learning For Semantic Change Detection In Remote Sensing, Hengzhi Chen, Kun Hu, Patrick Filippi, Wei Xiang, Thomas Francis Bishop, Zhiyong Wang

Research outputs 2022 to 2026

As an emerging topic, semantic change detection (SCD) in remote sensing aims to both identify the locations of changes before and after events and determine the land cover (LC) classes of changed regions. While deep learning has demonstrated its great potential for SCD, the following two fundamental challenges remain: large variations among the same LC class as well as close similarity between different LC classes, and the severe underutilization of massive unchanged regions, which dominate remote sensing scenes but lack detailed semantic annotations. To address these issues, we propose a novel prototype learning framework for SCD, namely ProtoMix, by leveraging …

Rrto: A High-Performance Transparent Offloading System For Model Inference In Mobile Edge Computing, Zekai Sun, Xiuxian Guan, Zheng Lin, Yuhao Qing, Haoze Song, Zihan Fang, Zhe Chen, Fangming Liu, Heming Cui, Wei Ni, Jun Luo

Research outputs 2022 to 2026

Deploying Machine Learning (ML) applications on resource-constrained mobile devices remains challenging due to limited computational resources and poor platform compatibility. While Mobile Edge Computing (MEC) offers an offloading-based inference paradigm using GPU servers, existing approaches can be divided into non-transparent and transparent methods, with the former necessitating source-code modifications. Non-transparent offloading achieves high performance but requires intrusive code changes, limiting compatibility with diverse applications. Transparent offloading, in contrast, offers wide compatibility but introduces two challenges: performance degradation under MEC's low and fluctuating bandwidth, where per-operator remote procedure calls (RPCs) inflate end-to-end latency and energy consumption; and black-box logic reconstruction, which …

Selective Human Resource Practices, Psychological Safety Climate And Employee Wellbeing, Yvonne Brunetto, Matthew J. Xerri, Geremy Farr-Wharton

Research outputs 2022 to 2026

Purpose: Engineers and healthcare professionals perceive higher levels of stress compared with the general population, suggesting that past human resource management (HRM) systems have failed to manage them appropriately. This study examines whether psychosocial safety climate (PSC) acts as a psychological conduit in translating HRM practices and mediating their impact on wellbeing using the common good HRM (CGHRM) and Conservation of Resources theoretical frameworks.

Design/methodology/approach: Data were collected using surveys collected at two points – one-month apart, and then analysed using structural equation modelling (Analysis of Moment Structures) to manipulate survey data from 300 matched employees.

Findings – The variance …

When Does The Peak Countermovement Jump Performance Occur? Mapping Peak-Trial Timing Across Six Clustered Repetitions, Karol Kruczek, Szymon Karpęcki, Tim Gabbett, Jason Lake, Michał Nowak

Research outputs 2022 to 2026

Force-plate countermovement jump (CMJ) testing is widely used to assess neuromuscular status, yet monitoring interpretation often relies on best-trial values from abbreviated protocols, potentially biasing conclusions when the session maximum occurs beyond the sampled attempts. We mapped peak-trial timing across a six-trial clustered (3 + 3) CMJ protocol for seven outcome and strategy force–time metrics, and tested whether this peak-trial pattern was preserved between personal best (PB) and typical state (TS) monitoring sessions, both defined using modified reactive strength index (mRSI) as the primary selection variable. Retrospective dual-force-plate data (1000 Hz; August 2020–December 2025) were analysed from 314 athletes who …

When The Panic Sets In: Ai-Proofing As Pedagogical Violence In Social Work Education, Norah Hosken, Susan Bailey

Research outputs 2022 to 2026

Universities’ rushed responses to generative Artificial Intelligence (AI) constitute pedagogical violence against students and educators in social work programs. Drawing on Matusov and Sullivan’s pedagogical violence framework and Bourdieu’s symbolic violence, we examine how institutional mandates to ‘AI-proof’ assessments contradict core social work values while inflicting systematic harm. AI-proofing policies impose time-limited assessments disadvantaging disabled students and those with caring responsibilities, deploy surveillance technologies that discriminate against non-native English speakers, demand unsustainable workload increases from burned-out educators, and dismantle scaffolded pedagogy aligned with how social workers learn to practise. Using collaborative autoethnography, we document our experiences across Australian universities and …

Multi-Omics Integration Reveals Vaccine-Specific Molecular Signatures And Temporal Dynamics Of Covid-19 Immune Responses, Anne H. Klein, David J. Beale, Thao V. Nquyen, Jian-Wei Liu, Petrus Jansen Van Vuren, Nagendrakumar B. Singanallur, Carol Lee, Andrew C. Boomer, Jennifer A. Juno, Stephen J. Kent, Adam K. Wheatley, Gough G. Au, Seshadri S. Vasan, Laurence Wilson, Alexander J. Mcauley

Research outputs 2022 to 2026

Vaccination elicits systemic immune responses that extend beyond antibody and lymphocyte activation, engaging coordinated metabolic and lipid pathways that modulate immune function. Nevertheless, how systemic molecular responses differ across COVID-19 vaccine platforms, including closely related mRNA platforms, remains poorly understood. Here, we performed integrated plasma proteomic, lipidomic, and metabolomic profiling of 53 SARS-CoV-2–naïve adults vaccinated with Pfizer-BioNTech, Moderna, or AstraZeneca COVID-19 vaccines. Samples were analysed across multiple timepoints using differential analysis and DIABLO-based multi-omics integration. Our findings reveal distinct platform-associated multi-omic molecular signatures not captured by unsupervised analyses alone. Pfizer-BioNTech vaccination was associated with widespread increases in immunoglobulin and complement …

Sheep Industry Pivot Project: Global Comparative Review, James Smith

Research outputs 2022 to 2026

Executive summary: This report forms the first stage of a two-year project led by Edith Cowan University to identify and commercialise new market pathways for Australian sheep products and by-products. The project responds to a period of significant structural change within the industry, most notably the legislated phase-out of live sheep exports by sea by May 2028, which is reshaping market dynamics and supply chain configurations. As an initial global benchmark and review, this report examines international best practice and emerging opportunities to inform industry transition, with the broader project focused on supporting producers and processors to develop and test …

Analysis Of Geosynthetic-Reinforced Tailings Dam Slopes Subjected To Surface Loads, Francis Otieno, Sanjay Kumar Shukla

Research outputs 2022 to 2026

This study presents an extensive numerical investigation of the stability of a geosynthetic-reinforced tailings dam embankment slope subjected to surface loads from retained pyrite tailings slurry upstream of the dam. The analysis was performed on an embankment with an inclination of 1V:2.5H on the upstream slope and 1V:2H on the downstream slope. The dam embankment rests directly on previously deposited pyrite tailings that have dried over time and are sufficiently consolidated to support the embankment. The variable parameters considered in this study include the geosynthetic reinforcement length across the failure zone, effective cohesion (c′), effective angle of internal friction (ϕ′), …

Common Census Methods Can Lead To Fundamentally Different Ecological Interpretations Of Coral Reef Fish Communities, Helen F. Yan, Samantha K. Crisp, David R. Bellwood, Alexandre C. Siqueira, Sterling B. Tebbett

Research outputs 2022 to 2026

In an era of large-scale stressors, scientists are racing to collate equally large datasets to answer macroecological questions. Coral reefs lie at the forefront of system-wide transformations and are thus the focus of many macroecological studies. A lack of standardised, global data across time, however, has resulted in the coalition of data from disparate sources, often comprising different survey methods. However, can we make the same ecological inferences from data collected using different survey protocols? Here, we employed two of the most common reef fish census techniques—point counts and belt transects—of varying survey effort (time and area) to assess whether …

Controlled And Long-Term Multi-Drug Release From Silk Films, Christine Jurene O. Bacal, Pramod Dorishetty, Benjamin J. Allardyce, Nilupul Piyumantha, Fatemeh Ejeian, Amir Razmjou, Sharon Clark, Ruth Thornton, Filippo Valente

Research outputs 2022 to 2026

In this study, we propose a novel model of multi-layered, silk-based films for sustained and controlled release of multiple drugs for up to 25 days (600 h), with a prolonged tail-release phase extending to 45 days (1080 h), for biomedical applications. The compounds tested included ciprofloxacin (CIP, antibiotic) and dexamethasone (DEX, steroid) widely used in therapeutics formulations for the treatment of ear diseases like chronic otitis media. Using a layer-by-layer (LbL) assembly approach, sodium deoxycholate was also incorporated as a pH-sensitive, charge-interfacing agent between silk layers comprising of CIP or DEX, which proved critical in modulating interlayer interactions, enhancing drug …

Cost-Effective Design Of Home Energy Management System With Pv-Wind And Battery Storage In A Grid-Tied Microgrid, Md Mamun Ur Rashid, Jiefeng Hu, Md Alamgir Hossain, Md Shafiul Alam, Ismot Tasmary Salsabil, Bo Long

Research outputs 2022 to 2026

The rising energy demand and the limited availability of traditional energy sources have driven the search for renewable energy alternatives. Over the past few years, more renewable energy sources and significant efforts have been carried out around the World to decrease carbon emissions in the utility sector. To support this development, microgrids have emerged as a smart component of the future power grid. Microgrids, powered by local energy resources, are the most effective for building the new power grid. In microgrids, an Energy Management System (EMS) is an essential element in scheduling the local energy flows. This paper focuses on …

Software Architecting In The Brazilian Industry: Results Of A Prior Survey, Valdemar Vicente Graciano Neto, Mohamad Kassab, Diana Lorena Santos, Andrey Gonçalves França, Edson Oliveira, Rafael Z. Frantz, Ahmad Mohsin, Marcos Kalinowski

Research outputs 2022 to 2026

Context: Software architecture is essential for system quality and long-term sustainability, yet little is known about how the architect role is structured in Brazilian companies.

Objective: This study examines how Brazilian organizations incorporate software architecture into their development processes, focusing on the presence and formalization of software architects, and the activities performed by them.

Method: A survey of 105 professionals from 24 states collected data on organizational profiles, architect roles, compensation, and architectural tasks. Quantitative and qualitative analyses were conducted.

Results: Architectural work is widespread but unevenly formalized. Only 41% of companies employ formal architects, and 68% delegate architectural duties …