Digital Commons Network^™

Child And Family Centred Care: A Three-Phased Principle-Based Concept Analysis, Maggie Zgambo, Julie Blamires, Mandie Foster, Mohammad Al-Motlaq, Therese A. O'Sullivan, Davina Houghton, Evalotte Mörelius

Research outputs 2022 to 2026

Introduction: Despite a growing multidisciplinary interest in the Child and Family Centred Care approach, its meaning remains unclear in extant literature. It is, therefore, crucial to explore, analyse, describe, and clarify the concept of the Child and Family Centred Care approach and its associated terms. Method: A three-phased principle-based concept analysis approach was used to analyse the concept of Child and Family Centred Care. A systematic search of literature was completed using the CINAHL, PsycINFO, Medline, Scopus, and Web of Science databases. Peer-reviewed articles on Child and Family Centred Care, published from inception to 2023 were included if they were …

Machine Learning-Based Seismic Response Forecasting Using Feature Mapping Algorithms And Scientometric Analysis Of Nailed Vertical Excavation In A Soil Mass, Surya Muthukumar, Dhanya Sathyan, Premjith B, Sanjay Kumar Shukla

Research outputs 2022 to 2026

Seismic analysis often involves significant uncertainty and requires detailed observations. The traditional approaches are constrained by unclear mechanisms and imprecise models to predict the stability of geostructures. The research gap between the accuracy of observed and predicted values can be bridged by employing artificial intelligence-based machine learning (ML) models. The seismic displacement of the nailed soil wall obtained from experimental studies were assessed using suitable ML approaches. Laboratory studies revealed that the critical acceleration was increased by 32% on the inclusion of nails of reinforcement length to excavation height ratio (L/H) to 0.6, and by 17% when the (L/H) was …

Prevalence And Profile Of New Zealand Osteopaths Treating People Experiencing Headaches And Migraines, Ana Paula Antunes Ferreira, Brett Vaughan, Jerry Draper-Rodi, Lee Muddle, Loïc Treffel, Cindy Mcintyre, Michael Fleischmann, Francesco Cerritelli, Kesava Kovanur Sampath, Amie Steel

Research outputs 2022 to 2026

To describe the prevalence and profile of NZ osteopaths treating people experiencing headaches and migraines. This study is the first to describe this practice. Manual and manipulative therapy interventions are commonly sought by individuals experiencing headaches or migraines. Evidence supports the use of manual therapy as part of the management of headache and migraine disorders. Osteopaths are health professionals who provide care for individuals experiencing headaches and migraines. However, there is a lack of data concerning the profile of osteopaths treating these conditions, in addition to their diagnostic and management strategies. The Osteopathy Research Connect-New Zealand (ORC-NZ), a practice-based research …

Reimagining Intelligence: A Comprehensive Review Of Human-Centric Ai Systems And Their Societal And Healthcare Integration, Zakaria Benlalia, Ghada Al-Kateb, Mourad Mzili, Konstantina Diamanti

Mesopotamian Journal of Artificial Intelligence in Healthcare

Human-Centric Artificial Intelligence (HCAI) is rapidly emerging as a transformative paradigm, shifting the focus of AI development from mere algorithmic optimization to ethical alignment, user trust, and societal integration most notably within the critical domain of healthcare. This review offers a comprehensive examination of the principles, architecture, challenges, and future directions underpinning HCAI, with an emphasis on its applications in health-related contexts. We begin by exploring the conceptual foundations of human-centricity, including core values such as transparency, fairness, autonomy, and privacy, all of which are essential in sensitive environments like clinical decision-making and patient data management. The paper then surveys …

Fake News Detection In Arabic Media Using Machine Learning And The Afnd Dataset, Hussain Ali Bahri

Theses

The proliferation of fake news in digital media poses a significant challenge to information credibility, particularly in linguistically diverse regions such as the Arab world. This study addresses the critical problem of detecting fake news in Arabic media by leveraging advanced natural language processing (NLP) techniques and the AFND dataset, which contains over 600,000 news articles categorized into "credible," "not credible," and "undecided" classes. The research focuses on developing a robust system using AraBERT, a transformer-based model specifically pre-trained for Arabic text. Key contributions of this work include a comprehensive preprocessing pipeline tailored to Arabic linguistic complexities, incorporating stopword removal, …

Support For Older People Living With Chronic Life-Limiting Illnesses In Rural Ghana, Barbara Adonteng-Kissi, Obed Adonteng-Kissi

Research outputs 2022 to 2026

Summary: This research aims to address formal support needs of informal caregivers (ICs) in the context of long-term care of older people (OP) living with chronic life-limiting illnesses and examine the relationships of ICs of OP with formal support in rural Ghana. We undertook ethnographic interviews with 15 OP; 15 ICs; and 10 healthcare professionals (HPs) after participatory observations during 6 months of fieldwork. This was supported with daily field notes used to collect the needed data and purposively sampled across Gomoa West District in Ghana. The average age of participants was 76 years. Interviews were recorded and transcribed, using …

Applying Hybrid Coding And Reflexivity In Qualitative Content Analysis: An Exemplar, Kunwar Kaur, Ma’En Zaid Abu-Qamar, Amineh Rashidi, Nilufeur Mckay, Rosemary Saunders

Research outputs 2022 to 2026

Qualitative Content Analysis (QCA) is a widely used method in nursing research for analysing textual data. Numerous authors have provided comprehensive explanations of this approach, including step-by-step guidelines. The coding methods employed in QCA are typically categorised as deductive, inductive, or a combination of both, often referred to as the abductive or hybrid technique. However, the hybrid coding technique remains under-utilised within nursing research. Further, trustworthiness, a cornerstone of qualitative research, has been extensively discussed in the literature, with reflexivity identified as a key component of ensuring rigor and credibility. This paper presents an example from nursing research where a …

Developing, Implementing, And Evaluating The First National Memory And Cognition Clinic Guidelines In Australia, Inga Mehrani, Matthew Paradise, Lee Fay Low, Sue Kurrle, Valerie Arsenova, Gemma Jahn, Katrina Fyfe, Johannes C. Michaelian, Katharine Salmon, Jane Alty, Sharon L. Naismith, Perminder S. Sachdev

Research outputs 2022 to 2026

Introduction: A lack of national consensus on the roles and responsibilities of Australian memory and cognition clinics contributes to the large variability seen across services. The introduction of guidelines and a quality assessment framework could facilitate greater harmonization and quality improvements.

Methods: We used a modified Delphi process to develop the guidelines. Pilot clinics completed a self-assessment, case-note audit, and review meeting to evaluate their service against the guidelines.

Results: The final guidelines included 160 standards on 14 different topics. Standards around maximum waiting times for an assessment and minimum post-diagnostic care responsibilities were particularly controversial. Seven clinics participated in …

Naming Māori Learning Spaces, Georgina Tuari Stewart, Leon Benade, Valance Smith, Alastair Wells, Amanda Yates

Research outputs 2022 to 2026

Following up on our recent article in this journal, this research note discusses the range of names used in Māori school settings for flexible learning spaces (FLS) and innovative learning environments (ILE), There are various existing Māori names for FLS/ILE, which fall into two types: individual names and category names. We consider several of these names as a way to explore this concept and provide a background for positing ‘he wāhi ako’ as a generic name for Māori FLS/ILE, which translates into English as ‘Māori learning space(s).’

Patient Perception Of Involvement In Nursing Bedside Handover: A Cross-Sectional Study, Manonita Ghosh, Kaoru Nosaka, Rosemary Saunders, Olivia Gallagher, Amanda Towell-Barnard, Debannita Ghosh, Lucy Gent, Linda Coventry

Research outputs 2022 to 2026

Background: In Australia, aligned to safety and quality standards, the health system implements standardised practices that include patient involvement in nursing bedside handover. Despite this mandate, it remains unclear whether patients are genuinely participating in nursing bedside handovers and whether their perspectives are being considered. Aim: To explore patient perceptions of their involvement in nursing bedside handovers. Methods: A cross-sectional survey study was conducted in two acute metropolitan hospitals in Western Australia from July 2021 to March 2022. The survey administered to patients, comprised three sections: demographic information; involvement in bedside handover; and perceptions of bedside handovers; utilising close-ended and …

The Changes In Health-Related Quality Of Life After Attending Cardiac Rehabilitation: A Qualitative Systematic Review Of The Perspective Of Patients Living With Heart Disease, Amineh Rashidi, Lisa Whitehead, Helena Halton, Lisa Munro, Ian Jones, Lisa Newson

Research outputs 2022 to 2026

Background Although the benefits of engaging in cardiac rehabilitation are well established, patient perceptions of the changes in their health-related quality of life are poorly documented. This systematic review synthesized qualitative studies on patients’ perspectives of change in their health-related quality of life after attending cardiac rehabilitation. Objective To identify and synthesize the best available evidence on the perspective of patients living with heart disease about the changes in their health-related quality of life after attending cardiac rehabilitation. Methods Eight databases were used to identify relevant papers published in English and peer-reviewed, and no date restrictions were considered for the …

Exploring How Nutrition Students Used The Relational Employability Framework To Reflect On Their Micro-Placement Experiences, Elizabeth J. Cook, Ros Sambell

Research outputs 2022 to 2026

As the world grapples with multiple challenges, workforces increasingly require university graduates who can navigate complexity to facilitate positive change. The relational employability framework (REF) is used by educators to help students develop an awareness of their human and more-than-human career interactions, contributions and possibilities, in addition to developing their foundational employability skills and attributes. This case study, situated in a third-year community nutrition unit at Edith Cowan University, explores how students applied the REF in their final written reflection assessment following a micro-placement. Eighteen students reflected on their micro-placement experience and developing relational employability using Gibbs’ reflective cycle. Codebook …

Exploring The Barriers To Mental Health Help-Seeking Among African Migrants In Australia: A Qualitative Study, Nnaemeka Meribe, Obed Adonteng-Kissi, Kathomi Gatwiri, Lillian Mwanri, Frank Darkwa Baffour, Agness Tembo, Edith N. Botchway-Commey, David Chisanga, Ahmed A. Moustafa, Kerrie E. Doyle, Uchechukwu Levi Osuagwu

Research outputs 2022 to 2026

Background: The health of African migrants in Australia is a largely under-researched topic despite the steadily increasing size of the population and its uniqueness. In particular, few studies have explored the mental health of African migrants in Australia or their utilization of mental health services.

Aims: This study explored the barriers to mental health help-seeking among first-generation African migrants in Australia.

Methods: In this qualitative study conducted using the hermeneutical phenomenological research approach, the purposive sampling method was used to recruit participants. In-depth interviews with participants were undertaken online via Zoom, Teams, and WhatsApp calls. Interviews were recorded and transcribed …

Survival After Cessation Of Immunotherapies In Melanoma: A Systematic Review And Meta-Analysis, Kristine E. Mayer, Lydia Warburton, Anne Zaremba, Sarah Preis, Yannick Foerster, Tilo Biedermann, Oana Diana Persa

Research outputs 2022 to 2026

Background: Immune-checkpoint inhibitor (ICI) therapy elicits durable responses in a subset of patients with advanced melanoma. However, the appropriate timing for treatment cessation remains an unresolved issue. Moreover, some patients are required to discontinue therapy due to the occurrence of severe adverse events. Upon treatment cessation, a subset of patients maintains a durable response, while some patients relapse and require rechallenge with ICI. Criteria for a safe stop of ICI have not been established. Objectives: The aim of this systematic review and meta-analysis was to evaluate the durability of response in melanoma patients who discontinued ICI therapy. Furthermore, the outcome …

The Nutbush Dance Reframed: Further Analysis Related To ‘Doing The Nutbush’, Jon Stratton, Panizza Allmark

Research outputs 2022 to 2026

This article supplements our earlier article on the Nutbush dance, ‘Doing the Nutbush’. After that was published, there was a media frenzy which resulted in many comments on The Guardian site and on the ABC Facebook site. We also received a number of emails. All these contributions have helped fine-tune the history of the dance that we have been examining. Two key things became clear. Around 1970 there was a push in state education departments across Australia to substitute the American line dance, the Madison, for bush dances as a way of updating and making more relevant dance for primary …

Exploring University Students’ Reasons For Not Working While Studying: Implications For Employability, Carl Evans, Jonathan Lean

Plymouth Business School

The purpose of this paper is to examine the behaviours and perceptions of university students who do not work part-time while studying. A structured, online questionnaire was issued to Business Management students at a UK university. A total of 123 responses were received, of which 64 indicated that they were not working while studying. While non-working students were mindful of the importance of work to developing employability skills, greater importance was attached to their degree studies. Most work to date has focused on the motivations and behaviours of university students who undertake work while studying. Little work has been carried …

Understanding The Identity Work And Aspirations Of Indigenous Males Navigating Elite Australian Higher Education, James A. Smith, Garth Stahl, Andrew Harvey, Braden Hill, Himanshu Gupta, Sam Moore, Jianing Wang

Research outputs 2022 to 2026

In Australia, there has been increased attention to attracting Indigenous peoples into higher education but, despite a recent growth in enrolment numbers, they remain severely underrepresented. This underrepresentation is particularly notable among Indigenous males, who are the least likely to attend. In this paper, we investigate the experiences of four Indigenous young men who attended an elite higher education institution. Aligned with other research on the experiences of Black and Minority Ethnic males in higher education, the article captures how their experience in privileged institutions compels them to reflect on their own positionality and the cultural interface between Indigenous and …

Return Serve: Exploring The Dialogism Of The Australia-China Relationship In Media Coverage Between 2020-2022, Jordan Hogan

Theses: Doctorates and Masters

Australia and the People’s Republic of China (PRC) have a dynamic bilateral relationship that is defined by interdependency and mutual political scepticism. This thesis provides an analysis of Australian and Chinese news media perspectives on this relationship. Via an in-depth examination of opinion pieces from national press, I map the significant developments of a period of deteriorating relations between 2020 and 2022. My study captures the more prominent, parochial and vitriolic media coverage of the unravelling relationship, and investigates the motivations, developments, differences, and similarities in the online publications of Australia’s national daily newspaper The Australian, and China’s Global Times. …

Self-Regulated Strategy Development (Srsd) In Timed And Untimed Writing Tasks For Primary Learners, Candice Miller

Theses: Doctorates and Masters

This PhD dissertation describes an action research study focused on implementing the Self Regulated Strategy Development (SRSD) model to teach writing to address the challenges faced by Year 5 students in persuasive writing, particularly under timed conditions, and decreasing motivation aligned with national trends and school performance data. The aim of the current study was to enhance students' persuasive writing skills, writing attitudes, and self-efficacy and to examine the social validity of SRSD in an Australian classroom. The study specifically focused on timed and untimed writing conditions to examine the efficacy of the implemented SRSD model. The research employed a …

Industry 4.0 Digital Transformation And Opportunities For Supply Chain Resilience: A Comprehensive Review And A Strategic Roadmap, Morteza Ghobakhloo, Mohammad Iranmanesh, Behzad Foroughi, Ming Lang Tseng, Davoud Nikbin, Ahmad A.A. Khanfar

Research outputs 2022 to 2026

Despite interest in opportunities that Industry 4.0 offers for Supply Chain Resilience (SCR), little is known about the underlying mechanisms for such contributions. The study develops a roadmap that explains how supply chains can capitalize on Industry 4.0 SCR functions. The study conducted a content-centric literature review and identified 16 functions through which Industry 4.0 enhances SCR. Results reveal that the Industry 4.0 SCR functions identified are highly interrelated, and supply chain members should align their digitalization strategies with the sequence in which Industry 4.0 delivers these functions. Industry 4.0 contribution to SCR first involves delivering data-centric functions such as …

Community Perspectives On Spinal Cord Injury In Rugby Union: Facts And Fears, Nicole Merrick, Marelise Badenhorst, Ashlee Morgan, Lauren Fortington

Research outputs 2022 to 2026

Introduction: The sport of rugby union, henceforth rugby, is associated with a risk of spinal cord injury (SCI). Perceived risks can impact participation. Understanding community perspectives on rugby-related SCI may provide insight for addressing concerns around risk. The aim of this study was to explore community perspectives through social media discussion about SCI in rugby union. Methods: Posts about SCI in rugby union were identified using the advanced search function on Twitter. Data (content as original post, retweet, quote tweet and comments) were included if focused on Rugby Union and written in English. Inclusion dates (July 2018 to June 2019) …

Mapping Biomedical Ontology Terms To Ids: Effect Of Domain Prevalence On Prediction Accuracy, Thanh Son Do, Daniel B. Hier, Tayo Obafemi-Ajayi

Electrical and Computer Engineering Faculty Research & Creative Works

This study evaluates the ability of large language models (LLMs) to map biomedical ontology terms to their corresponding ontology IDs across the Human Phenotype Ontology (HPO), Gene Ontology (GO), and UniProtKB terminologies. Using counts of ontology IDs in the PubMed Central (PMC) dataset as a surrogate for their prevalence in the biomedical literature, we examined the relationship between ontology ID prevalence and mapping accuracy. Results indicate that ontology ID prevalence strongly predicts accurate mapping of HPO terms to HPO IDs, GO terms to GO IDs, and protein names to UniProtKB accession numbers. Higher prevalence of ontology IDs in the biomedical …

Online Learning-Driven Human Intent Estimation And Control For Human-Robot Interaction, Irfan Ganie, S. Jagannathan

Electrical and Computer Engineering Faculty Research & Creative Works

This paper presents a novel Stackelberg-game theoretic multilayer-online learning framework for cooperative control of nonlinear Physical Human-Robot Interaction (pHRI), where the human is modeled as the leader guiding a robot follower. This hierarchical interaction is captured as a dynamic Stackelberg game, with the human's intention estimated in real-time through online multilayer neural networks (MNNs). We introduce SVD-based weight update laws for actor-critic MNNs, which approximate value functions and control inputs for both human and robot, eliminating the need for predefined basis functions. In this framework, the human objective is first inferred and used to guide the robot actions by shaping …

An Entropy-Bounded, General, Model-Based Framework For Lossy Compression Of Sensor Data, Steven Thompson, Maciej Zawodniok

Electrical and Computer Engineering Faculty Research & Creative Works

In many industries, digital twinning has become an indispensable element of advanced technologies. However, digital twins are heavily reliant on extensive Internet of Things (IoT) sensor measurement data to function effectively. Consequently, data mining has become a lucrative endeavor, akin to gold rushes in the XIX century. However, the substantial volume of collected data often stresses the storage capacities for smaller to medium-sized enterprises, necessitating efficient compression techniques. Error-bound lossy compression offers substantial data reduction advantages, but introduces distortion that, when uncontrolled, can adversely affect analysis. This paper proposes an information optimization scheme that employs information entropy as a comprehensive …

Multi-Model Safe Neuro-Optimal Output Tracking Control Of Autonomous Surface Vessels With Explainable Ai, Behzad Farzanegan, S. Jagannathan

Electrical and Computer Engineering Faculty Research & Creative Works

This paper presents a safety-aware deep reinforcement learning (DRL)-based trajectory tracking control of autonomous surface vessels (ASVs). A multilayer neural network (MNN) observer estimates the ASV's state and uncertain dynamics. By utilizing the estimate state vector from the observer, a safety-aware DRL-based optimal policy is formulated using control barrier function (CBF) and Karush-Kuhn-Tucker (KKT) conditions. An actor-critic MNN with singular value decomposition (SVD)-based update mitigates vanishing gradients. To enhance adaptability, an online safe lifelong learning (SLL) scheme counters catastrophic forgetting across varying ASV dynamics. The Shapley Additive Explanations (SHAP) method identifies key features influencing the control policy. Simulations on an …

Online Adaptive Optimal Tracking Control Of Uncertain Strict Feedback Discrete-Time Systems With Hardware Verification Using A Quadrotor Uav, Maxwell Geiger, S. Jagannathan

Electrical and Computer Engineering Faculty Research & Creative Works

This article considers the infinite time horizon optimal tracking control problem for discrete time (DT) partially uncertain strict feedback systems with application to quadrotor UAVs. First, the strict feedback DT system is transformed into an equivalent affine nonlinear DT system in terms of tracking error dynamics. The optimal tracking control problem is solved using an augmented system approach, where a horizon of future reference trajectory points are used in the augmented state, as compared to using a single point. The internal dynamics of the original nonlinear strict feedback system and the transformed affine system in terms of error dynamics are …

Enhancing Measurement Accuracy In Industrial Applications: The Impact Of Sensor Data Imputation On Model Parameter Estimation, Steven Thompson, Michkath Omanda Bouraima, Maciej Jan Zawodniok

Electrical and Computer Engineering Faculty Research & Creative Works

Digital twins are meant to revolutionize the manufacturing industry by enabling advanced condition monitoring and predictive maintenance processes. However, disruptions within the manufacturing process, such as sensor malfunctions or connectivity issues are inevitable and will cripple these advanced analysis methods if not properly addressed. Therefore, efficient data management and analysis practices are key to advancing this technology. This work examines the impact of missing data imputation on model parameter estimation, a crucial task in developing models for digital twins. We theoretically derive the Cramer-Rao Lower Bound (CRLB) for a DC signal with an unknown scalar parameter in the presence of …

Active Microwave-Thermographic Signal Reconstruction, Logan M. Wilcox, Emma T. Bohannon, Kristen M. Donnell

Electrical and Computer Engineering Faculty Research & Creative Works

Active microwave thermography (AMT) is a coupled electromagnetic (EM) and thermographic nondestructive testing and evaluation (NDT&E) technique. AMT utilizes a radiating EM source (e.g., an antenna) that induces dielectric/magnetic heating on a specimen under test (SUT) which is subsequently spatiotemporally imaged with an infrared (IR) camera. As all antennas have spatial variation in their radiated power density, a nonuniform thermal excitation results within (or on the surface of) the SUT. This nonuniform heating causes uncertainty in defect detection and has the potential to lead to false positives and/or negatives. To this end, thermographic signal reconstruction (TSR), a well-established thermographic signal …

Reinforcement Learning-Based Nonlinear Optimal Discrete-Time Control Of Power Systems, Vijay Kumar Singh, Behzad Farzanegan, S. Jagannathan

Electrical and Computer Engineering Faculty Research & Creative Works

This paper presents a partially model-free adaptive optimal tracking control method for power systems, specifically targeting a synchronous generator connected through a reactive transmission line. By integrating the tracking error dynamics with reference trajectory dynamics, an augmented system is created. A discounted performance function is introduced to address the nonlinear tracking problem optimally. Unlike traditional methods that compute feedforward and feedback terms separately, the proposed approach calculates both simultaneously by minimizing the discounted performance function. The discrete-time tracking Bellman and Hamilton-Jacobi-Bellman (HJB) equations are derived, and a reinforcement learning (RL)-based technique is employed to solve the optimal policy online without …

Enhancing Fiber Optic Interferometric Sensing With Microwave Photonics-Based Dispersion Fourier Transform And Integrated Magnitude–Phase Analysis, Chen Zhu, Ruimin Jie, Chenxi Huang, Jie Huang

Electrical and Computer Engineering Faculty Research & Creative Works

Fiber optic inline interferometers are widely used for high-precision sensing due to their sensitivity, compactness, and immunity to electromagnetic interference. Traditional optical spectral analysis methods suffer from limited dynamic range due to free spectral range (FSR) constraints, while microwave photonic filtering (MPF) techniques based on dispersion Fourier transform (DFT) provide an alternative by mapping optical signals into the radio frequency (RF) domain. However, conventional passband frequency tracking in MPF systems has limited sensitivity, and the recently demonstrated phase-based methods, though highly sensitive, are constrained by phase wrapping beyond 2π. In this work, we propose and experimentally demonstrate an integrated magnitude–phase …