Digital Commons Network^™

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 …

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 …

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 …

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 …

Colour Segmentation In Coffee Berry Recognition: Light And Texture Convergence For Single-Overflight Frugal Agro-Diagnostics In Smallholder Coffee Environments, Cook David, Chris Napier, Leisa Armstrong

Research outputs 2022 to 2026

Smallholder coffee plantations are disadvantaged compared to larger coffee estates because they lack the digital sophistication to perform regular investigation of crops for signs of berry disease and poor berry health. Accurate visual recognition of coffee berry health is critical for early detection, particularly by pests such as Hypothenemus hampei. A persistent challenge is distinguishing true signs of infestation, and the pursuit of healthy berries is a contested struggle, classified by the size and scale, and determined by constrained financial decision support systems preventing high-level precision crop evaluation. Much of the precision agriculture discourse ignores smaller concerns in the 2-hectare …

The Impact Of Trade Liberalisation On Human Rights To Freshwater For Domestic Uses In The Developing World: An Examination Of Nigeria., Dickson Esonarae

School of Law, Humanities and Social Sciences Theses

AbstractName: Dickson Efosa Esonarae.Title: The Impact of Trade Liberalisation on Human Rights to Freshwater for domestic uses in the Developing World: An Examination of Nigeria.Freshwater is a vital life-sustaining resource. Though considered basic in developed countries, it is often scarce and mostly of inadequate quality in the developing world (Global South), with the WHO and UNICEF Report estimating about 1.1 billion people globally lacking access. Consequently, several countries are determined to provide freshwater for their people but often hampered by financial constraints for the requisite infrastructure. Considering this limitation, the International Economic Institutions (IEIs) identified the private sector as the …

Safe Family Therapy Activities And The Emotional Well-Being Of Parents Of Autistic Children, Gamze Camci

School of Law, Humanities and Social Sciences Theses

This thesis addresses a critical gap in the existing literature on the emotional well-being of parents of autistic children by applying SAFE family therapy activities grounded in the Narrative Attachment Therapy approach through a three-cycle action research design. Stage 1 involved 3 parents as primary participants, with their children present during selected sessions. Stage 2 included 2 families; the primary focus was on 3 parents across these families. Stage 3 engaged 5 therapists. Data were collected through interviews, diaries, questionnaires and therapy recordings. Data from interviews and journals were analysed thematically, whereas questionnaires were analysed idiographically. The first and second …

Navigating The Digital Shift In Mozambique: Teacher Agency And Digital Learning In Schools, Clive Ruraca

School of Law, Humanities and Social Sciences Theses

The educational technology industry frequently promotes the idea of a significant paradigm shift, proposing that technology can supplant traditional, transmission-based pedagogies such as ‘tell and practice’ approaches. In theory, this perspective positions digital tools as catalysts for systemic educational reform, capable of replacing rote learning with dynamic, technology-supported models (Voogt et al., 2013; Wang et al., 2024; Casilli & Posada, 2019). Employing an interpretative, empirical methodology, involving questionnaires and interviews with secondary school teachers. Data from this study are used to explore teachers’ experiences with digital learning tools through the lens of Activity Theory. This study examines the digital shift …

How Supply Networks Influence Sustainable Innovation: Evidence From Ghana's Public Works Procurement, Peter Adjei-Bamfo, Hadrian Geri Djajadikerta, Kerry Brown, Ferry Jie, Reza Kiani Mavi, Alain Neher

Research outputs 2022 to 2026

Recent environmental and sustainability standards in procurement increase short-term production and operational costs to suppliers, which are often recouped by charging price premiums for innovative solutions. However, public buyers are less likely to pay such price premiums, resulting in a disincentive among suppliers to bid for innovation (unique) contracts. This article examines how innovation procurement stimulates network emergence to mitigate innovation costs and facilitate suppliers' sustainable innovation capacity. We inductively analyse interview responses, observations, archival data and modified Delphi discussions with technical experts involved in innovation-oriented public works procurement projects (i.e., building, water and road infrastructure) in Ghana. Our findings …

Sexisms And Gender-Washing In Australian Academia: Public Front, Private Realities, Jacqueline Ullman, Emily Gray, Mindy Blaise, Lucy Hobby

Research outputs 2022 to 2026

This paper offers an analysis of selected survey findings from a mixed methods research project, entitled Understanding and Addressing Everyday Sexisms in Australian Universities. The project is situated within the context of the negative impact of gender-based discrimination upon the higher education sector in Australia and internationally. The findings discussed in this paper relate to quantitative analyses of selected items from a national survey of over 1200 Australian academics, recruited through 12 public universities. In this paper, the ways in which different participant groups responded to items designed to explore their attitudes towards sexism in the academic workplace, both broadly …

Beta-Band Modulation Reveals The Cortical Dynamics Of Auditory Statistical Learning In Children, Jarrad A.G Lum, Christine N. Moreau, Li Ann Leow, Welber Marinovic, Sarah J. Lum, Marc F. Joanisse, Laura J. Batterink

Research outputs 2022 to 2026

Children's ability to extract statistical regularities from speech is considered fundamental to lexical, syntactic, and grammatical development. However, the neural oscillatory mechanisms supporting this process in childhood remains poorly understood. While beta-band oscillations have been linked to statistical learning in visual and motor domains, it is unclear whether similar dynamics support auditory statistical learning in children. In this study, we recorded electroencephalography (EEG) from children aged 8–12 years as they listened to a continuous stream of trisyllabic nonwords (e.g., dapiku), where syllable order within each nonword was fixed (high predictability), but transitions between nonwords were variable (low predictability). Beta power …

Towards Carbon Geosequestration: Comparing The Wettability Performance Of Western Australian Altered Basaltic Rock/Co2/Water Systems, Seyi Philemon Akanji, Rossen Sedev, Lionel Esteban, Ausama Giwelli, Trevor Beardsmore, Heather Howard, Joel Sarout, Alireza Keshavarz, Stefan Iglauer

Research outputs 2022 to 2026

Geosequestration of carbon dioxide in basaltic rock formations is considered to have the potential to safely and permanently store significant quantities of this greenhouse gas and thereby mitigate its potential global warming effect. The success of this storage method is primarily dependent on the wettability behaviour of the rock-water-CO2 system, which significantly affects fluid distribution, fluid transport, storage capacity and containment security. This study investigates the wettability performance of several Western Australian altered basaltic rocks, of similar geochemistry, porosity and inter-connection. The wettability behaviour of the basaltic materials is assessed using water containing ions that have been leached from the …

Tribological Properties Of Woven Carbon Fiber/Peek Composites From Ambient To 200 °C: Ultra-Low Wear And Performance Evolution, Zheng Bo Xu, Shu Qing Kou, Feng Qiu, Liang Yu Chen, Hong Yu Yang, Jun Nan Dai, Shi Li Shu, Ruifen Guo, Qi Chuan Jiang, Lai Chang Zhang

Research outputs 2022 to 2026

The limited mechanical and tribological stability of carbon fiber reinforced PEEK matrix composites at elevated temperatures remains a major obstacle to their widespread application in extreme service environments. In this work, stain-woven carbon fiber (60 wt%) reinforced PEEK composite (CP60) was fabricated via compression molding, and its temperature-dependent mechanical and wear performance was systematically evaluated. Friction and wear behavior were systematically investigated using pin-on-disc tests under dry sliding conditions. Experiments were conducted at two distinct temperatures (room temperature (RT) and 200 °C) with diverse loads (200–400 N) and sliding velocities (0.47 and 0.94 m/s). The composite exhibited lower average friction …

Covert Performance Of Star-Ris Aided Thz Communication System With Rsma And Phase Errors, Xiangbin Yu, Yue Zhou, Shihao Yan, Yun Rui, Xiaoyu Dang, Chau Yuen, Mohsen Guizani

Research outputs 2022 to 2026

In this paper, the covert performance of the simultaneous transmitting and reflecting reconfigurable intelligent surface (STAR-RIS) aided Terahertz (THz) communication systems with rate-splitting multiple access (RSMA) over the generalized α-μ fading channel is studied, where the discrete phase error and noise power uncertainty are considered. By means of the Gaussian approximation and Gamma distribution, the closed-form outage probability (OP) of the legitimate users is firstly derived. Then, the covert performance of the system is analyzed, and average detection error probability (ADEP) is deduced for the warden, and resultant closed-form ADEP is obtained. By minimizing the ADEP, the optimal detection threshold …

Tourism Destination Mobile Applications: An Ai-Human Loop Analysis And Future Research Programme, Arghavan Hadinejad, Naser Pourazad, Lara Stocchi, Violetta Wilk

Research outputs 2022 to 2026

Despite the rise in destination mobile applications (apps) and their significance in the tourism sector, there remains a notable dearth of critical assessments of knowledge on the topic, which is necessary to guide future academic and industry endeavours. To bridge the gap, this research conducts a systematic review to synthesise scholarly knowledge on tourism destination mobile apps. The analysis reveals topical clusters including prototyping and scoping, consolidation, and forecasting and further technological advancements between 2009 and 2023. The existing scholarship is predominantly quantitative and atheoretical, with the Technology Acceptance Model being the most frequently applied framework. The findings reveal four …

Ai-Enhanced Smart Sensors For Heavy Metal Detection In Water Treatment, Fatemeh Noorisafa, Amir Razmjou, Asghar Taheri-Kafrani, Fatemeh Ejeian, Mohsen Asadnia, Hamidreza Akbari Ghavamabadi

Research outputs 2022 to 2026

Artificial intelligence (AI) enhances biosensor design by efficiently processing and modeling environmental data. This study employs machine learning algorithms to optimize biosensor parameters for the detection of trace-level heavy metals in aquatic environments, utilizing enzymes, DNAzymes, and aptamers as recognition elements. Machine learning models, including decision trees, random forests, gradient boosting, ensemble neural networks, and GLMM,were trained on extensive laboratory datasets. Among these, the random forest model exhibited the highest predictive accuracy, achieving 71 % for the limit of detection (LOD), 75 % for the minimum concentration of linearity, and 62 % for the maximum concentration of linearity. The AI-driven …

Glycomedicine: Unveiling The Paracentral Dogma, Wei Wang, Gordan Lauc

Research outputs 2022 to 2026

No abstract provided.

Optimizing Ev Battery Charging Using Fuzzy Logic In The Presence Of Uncertainties And Unknown Parameters, Minhaz Uddin Ahmed, Md Ohirul Qays, Stefan Lachowicz, Parvez Mahmud

Research outputs 2022 to 2026

The growing use of electric vehicles (EVs) creates challenges in designing charging systems that are smart, dependable, and efficient, especially when environmental conditions change. This research proposes a fuzzy-logic-based PID control strategy integrated into a photovoltaic (PV) powered EV charging system to address uncertainties such as fluctuating solar irradiance, grid instability, and dynamic load demands. A MATLAB-R2023a/Simulink-R2023a model was developed to simulate the charging process using real-time adaptive control. The fuzzy logic controller (FLC) automatically updates the PID gains by evaluating the error and how quickly the error is changing. This adaptive approach enables efficient voltage regulation and improved system …

Prevalence Of Dementia In Selected Middle East And North Africa (Mena) Countries: A Systematic Review And Meta-Analysis, Mohsen Sedighi, Mohammad Hasan Shahabi, Alireza Amanollahi, Khurshid Alam, Soudabeh Shemehsavar, Zahra Shirzadi, Serena Sabatini, Ahmad R. Khatoonabadi, Matthew Prina, Akram A. Hosseini, Claire V. Burley, Jennifer Dunne, Simin Mahinrad, Iman Dajani, Ralph N. Martins, Blossom C.M. Stephan, Ali Chaari, Hamid R. Sohrabi

Research outputs 2022 to 2026

Data on dementia epidemiology in the Middle East and North Africa (MENA) region is limited. This systematic review and meta-analysis examined dementia prevalence across MENA. Databases were searched up to October 2024. Analyses were stratified by country and sex. Pooled prevalence was estimated using a random-effects model with a 95% confidence interval (CI). Fifty-two studies on the selected countries met inclusion criteria, covering 87,219 individuals with dementia from a total population of 1,045,908. The pooled prevalence was 12.16% (95% CI: 9.61–14.96) for the region and the Israel had the highest prevalence (17.00%), followed by Iran (13.20%), Turkey (11.40%), Saudi Arabia …

Professional Development To Inspire, Support, And Extend Stem-Related Learning, Somayeh Ba Akhlagh, Asma Hulayyil Aljohani, Maryam Jamal Alharthi, Nahla Mahmoud Gahwaji, Nouf Mohammed Albadi, Marianne Knaus

Research outputs 2022 to 2026

The success of STEM education in early childhood education is reliant on the pedagogical practices of teachers. Effective teaching of STEM requires specific knowledge of the four disciplines of STEM, appropriate teaching and learning methods and relevant experiences. In Saudi Arabia the teaching of STEM is a relatively new field, and this paper outlines a research project to promote the teaching and learning of STEM through professional development workshops. The research is informed by Vygotsky’s cultural-historical/socio-cultural theory, acknowledging the crucial role of social interaction and cultural context in a collaborative learning environment. To evaluate the project, a mixed methods approach …

Waterborne, Theresa Ann Wilks

Theses : Honours

Waterborne incorporates four eco-Gothic fiction narratives that, through a practice-led enquiry, examine how drawing upon the abject, by employing the Gothic tropes of violence and captivity within Australian settings, may be positioned to foreground environmental impacts from anthropocentrism, particularly upon bodies of water. Utilising eco-Gothic settings in water locations exhibiting ecological damage, from land clearing and water management practices, the fictional narratives may also highlight the physical, social and emotional impacts of adverse environmental change upon ourselves.

“High Tea and Acquisitions” followed time immersed at a freshwater lake that is choked with introduced weeds and becoming shallow with sediment. It …

Nation, Nature And Childhood In Five Curricula: Towards Earthly Education, Zsuzsa Millei, Katarzyna Gawlicz, Lucy Hopkins, Camilla Eline Andersen, Danielle Ekman Ladru

Research outputs 2022 to 2026

This article explores the relations between nation, nature and childhood in five early childhood education curricula in the Nordic, post-socialist and settler-colonial states with the focus on the role education plays in the face of the climate crisis. The authors identify three interconnecting themes in which nation, nature and childhood are entangled in these curricula: 1) national nature as an object of learning; 2) nature and home/birth land and Country; and 3) stewardship for national nature. Exploring these themes from the perspective of alternative pedagogies developed to address the child–nature relations during the Anthropocene, the authors argue that these notions …

An Evaluation Of Modelling Of Propagation Using Comsol For A Singlemode-Multimode-Singlemode Structure, Thomas Freir, Arun Kumar Mallik, Yuliya Semenova, Gerald Farrell

Research Outputs: 2025-Present

This paper presents simulation models developed for investigating singlemode-multimode-singlemode (SMS) structures, with the intention of utilising precise nano-scale 3D printing to print the center-section of the structures modelled. The models allow the design of structures for use in SMS fiber sensors, replacing the silica fiber center-section structures commonly used, with 3D printed elements. The paper discusses the process of evaluating and validating COMSOL propagation models by comparison to existing reported results and proposes the use of SMS self-imaging length and the transmission spectra as useful metrics for model comparisons. Both 2D and 3D COMSOL models are developed, and both show …

Fuzzy Logic-Based Driving Style Classification For Lane-Change Prediction In Intelligent Transportation Systems, Muhammed Fatih Koc, Nouman Ashraf, Pramod Pathak, Sachin Sharma

Research Outputs: 2025-Present

In recent years, Intelligent Transportation Systems (ITSs) have emerged as a solution to mitigate the problem of traffic congestion. Understanding human driving styles such as aggressive, normal, and cautious is crucial for safe driving. In particular, predicting lane-change manoeuvres may be further supported by combining vehicle state information with driving style information. However, existing vehicle trajectory datasets lack driving style information, making classification challenging. To address this limitation, this paper proposes a fuzzy logic-based driving style classification framework in a Vehicle-to-Everything (V2X) environment. The model uses vehicle state information, including speed, longitudinal acceleration, lateral acceleration, and distance headway to classify …

Academics’ Experiences Of Work-Life Balance And Work-Life Conflict In A Familialist State: The Case Of Bosnia And Herzegovina, Sara Clavero, Caitriona Delaney

Research Outputs: 2025-Present

Background: This paper explores how women academics in Bosnia and Herzegovina (BiH) navigate work-life conflict and the main strategies they deploy to balance their work and personal lives. It examines the range of institutional support available to them and assesses their effectiveness in facilitating work-life balance and reducing work-life conflict. Methods: Drawing on 12 semi-structured interviews with female academics at various career stages from public and private universities across BiH, this study captures personal narratives of managing work and caregiving responsibilities. Results: Thematic analysis revealed the respondents’ personal strategies to find work-life balance while trying to achieve their career goals, …