Digital Commons Network^™

Sensing-Then-Beamforming: Robust Transmission Design For Ris-Empowered Integrated Sensing And Covert Communication, Xingyu Zhao, Min Li, Ming Min Zhao, Shihao Yan, Min Jian Zhao

Research outputs 2022 to 2026

Traditional covert communication often relies on the knowledge of the warden's channel state information, which is inherently challenging to obtain due to the non-cooperative nature and potential mobility of the warden. The integration of sensing and communication technology provides a promising solution by enabling the legitimate transmitter to sense and track the warden, thereby enhancing transmission covertness. In this paper, we develop a framework for sensing-then-beamforming in reconfigurable intelligent surface (RIS)-empowered integrated sensing and covert communication (ISACC) systems, where the transmitter (Alice) estimates and tracks the mobile aerial warden's channel using sensing echo signals while simultaneously sending covert information to …

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 …

A Novel Deep Transfer Learning-Based Adaptive Cascade Pi Controller Enhanced By Reinforcement Learning Algorithm And Snake Optimization For Robust Speed Regulation Of Brushless Dc Motors, Seyyed Morteza Ghamari, Asma Aziz

Research outputs 2022 to 2026

Brushless DC (BLDC) are common in electric cars, industrial automation, and robotics because of their high efficiency, high torque control, and compact size. Nevertheless, strong speed and current regulation is not easily attained because of system variation, load variations and the shortcomings of traditional fixed-gain proportional-integral (PI) controllers. In this paper, a new snake optimization-assisted deep transfer learning-based reinforcement learning (SOA-DTL-RL)-based adaptive cascade PI controller is proposed that combines transfer learning with fast adaptation, Reinforcement learning with real-time optimization, and snake optimization with optimal initial gain selection to guarantee the robust speed and current regulation in BLDC motors. The proposed …

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 …

Bitcoin Halving: How Effective Is It In Driving Cryptocurrency Market Dynamics?, Nyoman Sri Subawa, Caren Angellina Mimaki, I. Made Oka Mahendra, Made Srinitha Millinia Utami

Research outputs 2022 to 2026

Bitcoin halving is a quadrennial event that halves mining rewards and is believed to influence cryptocurrency prices and cryptocurrency market dynamics. This study examines the effect of Bitcoin halving on Cryptocurrency Prices, with Government Regulations, Market Sentiment, and Cryptocurrency Performance as mediating variables. A quantitative research approach was employed, gathering original data via survey instruments from 294 participants within the cryptocurrency community in Bali, which were analyzed using PLS-SEM. The findings indicate that Bitcoin halving exerts a favorable and statistically meaningful influence on Government Regulations, Market Sentiment, Cryptocurrency Performance, and Cryptocurrency Prices. Market Sentiment fully mediates the influence of Government …

Effects Of Electroshock Treatment On Microstructure Evolution And Mechanical Properties Of Ti-8al-1mo-1v Alloy, Jian Zhou, Yu Peng Yao, Hong Xin Sun, Chang Liu, Yan Wen, Li Qiang Wang, Lai Chang Zhang, Le Chun Xie, Lin Hua

Research outputs 2022 to 2026

The effect mechanism of electroshock treatment (EST) on microstructure evolution and mechanical property variations of Ti-8Al-1Mo-1V alloy was investigated. The results show that EST results in the phase transformation from the acicular secondary αs to β phase. While the EST time is 0.12 s, the acicular martensitic phase (αM) precipitates. The results of electron backscattered diffraction (EBSD) reveals that the average grain size decreases from 3.95 to 2.53 μm after EST, indicating that the grains are refined, and the significant recrystallization behavior and martensitic transformation occur. The orientation distribution reveals a more uniform distribution of texture, which is caused by …

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

Research outputs 2022 to 2026

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

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 …

Praxis: The Missing Theory To Practice Link In Maximising Early Childhood Science Opportunities, Pauline Roberts, Patricia R. Collins

Research outputs 2022 to 2026

Science teaching in early years contexts has been identified as deficient due to poor educator confidence, lack of content knowledge, or minimal opportunities being made available for science experiences. To identify strategies to counteract these factors, this study explored how these deficiencies are enacted in learning contexts by examining the beliefs and practices of educators across three early learning sites. The focus of this study was threefold: to gather the perception of educators in relation to early childhood science; explore the learning environments; and observe the interactions facilitated by the educators to develop scientific knowledge and skills for young children. …

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 …

Rapid Decentralized Prostate Cancer Risk Stratification By Portable Liquid Biopsy Analysis Within A Clinical Biosensor Validation Framework, Kevin M. Koo, Grant Phillips, Sriganesh Srihari, Áine Farrell, Binny Jaradi, Kira J. Fitzpatrick, John W. Yaxley, Hemamali Samaratunga, Paul N. Mainwaring, Ke-Lin Ru, Darren J. Korbie, Scott A. Tomlins, Matthew J. Roberts, Robert A. Gardiner, Matt Trau

Research outputs 2022 to 2026

Clinical liquid biopsy (e.g., blood or urine) specimens, as a minimally invasive source of crucial molecular information, continue to grow in importance for efficacious targeted cancer treatment. Yet, current molecular profiling technologies are still confined to centralized laboratory testing, which escalates testing costs, result turnaround time, and patient anxiety. Crucially, there is also a scarcity of purposeful clinical validation studies to rigorously evaluate emerging liquid biopsy technologies from research settings to facilitate clinical translation. Here, we report liquid biopsy biosensor advancements in achieving rapid, accurate, and decentralized molecular profiling of a clinically accredited prostate cancer (PCa) urinary circulating RNA biomarker …

Sparse Gradient Training For Recommender Systems, Yunke Qu, Liang Qu, Tong Chen, Xiangyu Zhao, Jianxin Li, Hongzhi Yin

Research outputs 2022 to 2026

Recommender systems are widely applied in numerous online platforms such as shopping and social media platforms. They typically utilize large embedding tables that map users and items to dense vectors of uniform sizes. As the number of users and items continues to grow, this design leads to significant memory consumption and computational inefficiencies. This challenge is particularly pronounced in scenarios such as federated learning, where model parameters are updated locally on edge devices with limited computational resources before being transmitted to a central server for aggregation. Numerous approaches have been proposed to address this issue, among which embedding pruning methods …

Women In The Australian Mining Industry, Michelle Gander, Fleur Sharafizad, Aglae Hernandez Grande, Heidi Vivian, Mahan Poorhosseinzadeh, Kate Blackwood

Research outputs 2022 to 2026

This report synthesises existing research on women’s participation in the Australian mining industry to identify the structural and cultural factors shaping gender inequality across the sector.

Drawing on research conducted over the past four decades, the report brings together what is currently known about how mining workplaces operate and how organisational practices, work arrangements, and site cultures shape the experiences of women across the sector. While many companies have introduced diversity and inclusion initiatives aimed at improving gender balance, the evidence suggests that challenges persist in areas such as operational roles, leadership pathways, and workplace culture.

Specifically, the report examines …

Feeling Giggity: Ambiguous Emojis In Teaching And Learning Communications, Mary Kynn, Nicole Reinke, Eva Hatje

Research outputs 2022 to 2026

There is an increase in the number of digital platforms used in higher education classrooms that promote using emojis to capture students’ emotions. However, there is little evidence to suggest that interpretation of emojis is reliable in this context. This pilot project explored if emojis can reliably signify the emotions expressed by first-year university students. Students were asked to record their emotions by selecting a representative emoji and using free text to describe its meaning. A total of 72 responses were recorded in an anonymous online survey. Happy face emojis were used more frequently than emojis representing neutral or unpleasant …

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

Research outputs 2022 to 2026

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

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

Research outputs 2022 to 2026

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

Systematic Literature Mapping: Integrated System Of Logistic Distribution For Island, Eka Suswaini, Mochammad Agung Wibowo, Ferry Jie

Research outputs 2022 to 2026

Purpose: The study aims to identify and compare various methods used to optimize supply chain distribution, with a focus on uncovering novel approaches. It particularly addresses the gap in logistics distribution models tailored for island environments, proposing the development of an integrated information system using genetic and memetic algorithms to handle uncertainties like weather and vessel availability. Design/methodology/approach: A Systematic Literature Mapping (SLM) approach was adopted. The K-Chart method was applied to categorize conceptual strategies and identify research gaps. A case study was also included to analyze logistical challenges in island settings, incorporating real data variables like transportation schedules and …

ℵ-Ipomdp: Mitigating Deception In A Cognitive Hierarchy With Off-Policy Counterfactual Anomaly Detection, Nitay Alon, Joseph M. Barnby, Stefan Sarkadi, Lion Schulz, Jeffrey S. Rosenschein, Peter Dayan

Research outputs 2022 to 2026

Social agents with finitely nested opponent models are vulnerable to manipulation by agents with deeper recursive capabilities. This imbalance, rooted in logic and the theory of recursive modelling frameworks, cannot be solved directly. We propose a computational framework called ℵ-IPOMDP, which augments the Bayesian inference of model-based RL agents with an anomaly detection algorithm and an out-of-belief policy. Our mechanism allows agents to realize that they are being deceived, even if they cannot understand how, and to deter opponents via a credible threat. We test this framework in both a mixed-motive and a zero-sum game. Our results demonstrate the ℵ-mechanism’s …

Designing And Evaluating Quality Transdisciplinary Work-Integrated Learning: Insights Into Practice, Denise Jackson, Claire Lambert, Sonja Coetzee

Research outputs 2022 to 2026

Higher education’s role in fostering innovation and enacting social change is increasingly important. Transdisciplinary Work-Integrated Learning (TWIL) offers opportunities to prepare students to address societal issues by transcending disciplinary boundaries and collaboratively tackling real-world global challenges. While extensive literature exists on established WIL models, research on the critical aspects of designing, implementing and evaluating impactful TWIL activities remains scarce. This paper draws together insights from 15 TWIL academics across 14 Australian universities, highlighting important design elements such as training for small group collaboration, open-ended projects, design thinking, sustained mentorship and reciprocal partnerships. Emerging challenges related to online delivery, teamwork, scalability, …

Enhancing Physical Performance With Ischemic Preconditioning: A Systematic Review And Meta-Analysis Of Moderators And Performance Outcomes, Yilin Zhang, Kai Xu, Hao Kong, Mingyue Yin, Chenghao Liu, Yun Xie, Liam Kilduff, Gustavo R. Mota, Olivier Girard

Research outputs 2022 to 2026

This study examined the effects of ischemic preconditioning (IPC) on physical performance, considering the influence of timing, warm-up (WU), participant characteristics, and IPC protocols structure. A total of 90 trials (1,439 participants) were retrieved from three databases and assessed using PICOS criteria. Multilevel meta-analyses with cluster-robust variance adjustments were conducted to calculate pooled effect sizes (Hedge’s g). Risk of bias and certainty of evidence were assessed using the RoB 2 tool and GRADE framework. IPC produced a trivial but significant improvement in physical performance (g = 0.13, P < 0.01), which persisted after excluding SHAM effects (g = 0.10; P < 0.01). Significant improvements were observed for maximum repetitions, time to failure, and power output, but not for jump ability, strength, or oxygen uptake. Comparable benefits were found for anaerobic (g = 0.15) and aerobic (g = 0.10) exercise, with greater effects in males and less-trained participants. Performance was further enhanced when IPC was followed by WU (g = 0.16), with the optimal IPC-to-WU interval being ~42 minutes. Without WU, the effective IPC window narrowed to 6–7 minutes. In practice, IPC can enhance physical performance, independently of sham effects, moderated by sex, training level, and WU. For competition or testing, the most effective strategy appears to be 3 or 4 × 5-min IPC protocol, followed by a 42-min interval, standardized warm-up, and endurance testing. For mechanistic studies, WU should be excluded, and testing conducted 6-7 minutes post-IPC. Future research should target women, middle-aged individuals, and elite athletes.

Exploring The Las-Vict Principle Of Cryptocurrency Exchanges: A Belief–Action–Outcome Perspective, Cheuk Hang Au, Kevin K.W. Ho, Po Hsu Shieh, Kris M.Y. Law

Research outputs 2022 to 2026

Purpose – Cryptocurrency exchanges operate in a hyper-volatile, “wild west” environment, fundamentally challenging existing theories of FinTech success that were built for stable markets. The literature lacks a framework to explain how firms thrive amidst such extreme regulatory ambiguity and institutional distrust. This study resolves this theoretical puzzle by developing a new principle for success in nascent, high-stakes digital ecosystems. Design/methodology/approach – We conduct a multiple-case study of 14 leading cryptocurrency exchanges. Using the belief–action–outcome (BAO) logic as an analytical guide, we deconstruct the strategic actions that separate successful exchanges from failures, synthesising them into a new, empirically grounded framework. …

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

Research outputs 2022 to 2026

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

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

Research outputs 2022 to 2026

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

#Shoutyourabortion And Being Heard: The Affordances Of Hashtags For Feminist Counterpublics In Hostile Digital Atmospheres, Claire Fitzpatrick

Research outputs 2022 to 2026

This article critically explores counterpublic responses to the overturning of Roe v Wade and the intense contestation on Twitter (now X) between pro-abortion and anti-abortion advocates. Focusing on networked acts of deliberation, this study shows how #ShoutYourAbortion and #RoevWade facilitated the formation of defensive publics and Counterpublics. Hashtag feminism can enable affected groups to share experiences that are often marginalised by traditional media outlets, while witnessing and affirming similar experiences shared by others within their community. In this article, I examine the extent to which the collectivising hashtag #ShoutYourAbortion facilitates deliberation and listening in the context of polarising abortion debates …

Students’ Perspectives On Authentic Assessment: An Experiential Learning Framework For Work-Readiness And Employability, Claire Lambert, Madeleine Ogilvie, Stephanie Meek

Research outputs 2022 to 2026

Background: Universities are increasingly pressured to enhance graduate employability by embedding career readiness into curricula. Authentic, industry-based assessments offer a means to link theory with practice, yet little is known about their impact from the student perspective. Purpose: This study explored how an industry-based authentic assessment supports students’ transition to work through the lens of Experiential Learning Theory (ELT). Method: Using a qualitative design, guided-introspection questionnaires were completed by 20 marketing graduates 2 years after completing an industry-based social marketing project. Directed content analysis identified themes aligned with ELT stages and mechanisms of confidence, networks, and professional enculturation. Findings: Authentic …

Thorium Lung Burdens Of Norm Workers Revisited, Gregory S. Hewson, Martin I. Ralph, Marcus Cattani

Research outputs 2022 to 2026

Historical thorium bioassay data collected from Australian mine workers in the 1990s, including in vivo lung counting and thoron-in-breath (TIB) measurements, were re-evaluated using current dosimetric and biokinetic models. Revised daily thorium intakes from bioassay were compared with previous estimates to assess changes in the dose profile and potential implications for contemporary operations. Reanalysis revealed lower estimates of annual dose, including the number of workers assessed as exceeding 20 mSv. However, it was found that intakes derived from industry personal air sampling (PAS) underestimated intake by up to three-fold. This study determined that sensitive bioassay techniques, such as TIB using …

Academic Librarians And Information Literacy Practice In An Age Of Mis/Disinformation, Nicole Johnston, Yerbury, Maureen Henninger

Research outputs 2022 to 2026

This paper presents findings from a study exploring Australian academic librarians' concerns about the impact of misinformation and disinformation on society, university students and access to reliable information. It also investigates strategies librarians consider effective for addressing mis/disinformation through information literacy programs. Sixty-two librarians responded to a survey comprising Likert scale and open-ended questions. Respondents expressed the greatest concern about the influence of mis/disinformation on news media and social media. There was strong agreement that mis/disinformation should be regulated on social media and that librarians play a key role in addressing it through information literacy. However, views on the importance …

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

Research outputs 2022 to 2026

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