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A Rare Case Of Eosinophilic Granulomatosis With Polyangiitis Following Development Of Central Diabetes Insipidus: A Case Report And Literature Review, Tatsuaki Kosaka, Shinya Yamamoto, Naoko Yasugi, Sayaka Sugioka, Takuro Hakata, Rintaro Saito, Ryosuke Hiwa, Sho Koyasu, Yuki Teramoto, Motoko Yanagita Jan 2026

A Rare Case Of Eosinophilic Granulomatosis With Polyangiitis Following Development Of Central Diabetes Insipidus: A Case Report And Literature Review, Tatsuaki Kosaka, Shinya Yamamoto, Naoko Yasugi, Sayaka Sugioka, Takuro Hakata, Rintaro Saito, Ryosuke Hiwa, Sho Koyasu, Yuki Teramoto, Motoko Yanagita

Faculty, Staff and Students Publications

Central diabetes insipidus (CDI) can develop as an acquired systemic disease. However, cases of eosinophilic granulomatosis with polyangiitis (EGPA) with concurrent CDI are rare. We herein report a case of EGPA following CDI. A 68-year-old woman with a 30-year history of sinusitis and asthma developed CDI, followed by severe renal dysfunction with eosinophilia and elevated myeloperoxidase-antineutrophil cytoplasmic antibody levels. A renal biopsy confirmed EGPA. Intensive treatment resulted in dialysis discontinuation, while partial improvement in arginine vasopressin secretion suggested a potential link between EGPA and CDI. We also conducted a literature review on concurrent EGPA and CDI. Clinicians should be aware …

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Unlocking The Intellectual Core Of Transformative Service: A Hybrid Review And Research Agenda, Pranav Nijhawan, Somnath Chakrabarti, Sanjit K. Roy Jan 2026

Unlocking The Intellectual Core Of Transformative Service: A Hybrid Review And Research Agenda, Pranav Nijhawan, Somnath Chakrabarti, Sanjit K. Roy

Research outputs 2022 to 2026

Purpose: Research on the Transformative Service Research (TSR) domain has proliferated in the service management literature over the past decade. The purpose of this study is to undertake a hybrid systematic literature review of TSR to trace its theoretical evolution, examine its conceptual underpinnings and propose pathways for future research. Design/methodology/approach: We identify and categorise the fundamental themes in TSR research by supplementing a systematic literature review with bibliographic coupling of 247 extracted papers. Furthermore, based on content analysis of extracted themes, we propose a comprehensive conceptual framework encompassing facilitators and unintended outcomes of transformative value creation. We used the …

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Culture, Community, And Development: Unpacking The ‘Socio-Cultural Milieu Dynamics’ Of Solomon Islands And Their Influence On Australia's Aid Localisation, Mark Opoku Amankwa, Gladys Nangira Murruka, Kwadwo Adusei-Asante, Vicki Frances Banham, Clement Amponsah, Emmanuel Enyinful Jan 2026

Culture, Community, And Development: Unpacking The ‘Socio-Cultural Milieu Dynamics’ Of Solomon Islands And Their Influence On Australia's Aid Localisation, Mark Opoku Amankwa, Gladys Nangira Murruka, Kwadwo Adusei-Asante, Vicki Frances Banham, Clement Amponsah, Emmanuel Enyinful

Research outputs 2022 to 2026

Using public ethnography anchored in the post-development theory and interpretivist epistemological paradigm, this study examines what we term the ‘socio-cultural milieus dynamics’ (SCMD) of the Solomon Islands (SI) and how these shape meaning, discourse, and practice in ways that influence Australia's aid localisation efforts and aid outcomes. The findings indicate that local communities are deeply entrenched in complex SCMD with heterogeneous networks of decision-makers within the ecosystem. These SCMD, we argue, are evident in the structural and contested roles associated with the gendered composition of local committees, the power asymmetries between dominant local elites and subalternised groups, and the relationalities …

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Leveraging Consumer Socialisation Agents To Increase Indigenous Student Participation In Higher Education, Melissa Fong-Emmerson, Braden Hill, Claire Lambert, Maria M. Ryan, Rebekah Dougan Jan 2026

Leveraging Consumer Socialisation Agents To Increase Indigenous Student Participation In Higher Education, Melissa Fong-Emmerson, Braden Hill, Claire Lambert, Maria M. Ryan, Rebekah Dougan

Research outputs 2022 to 2026

Purpose – Socialisation agents, including family, peers, Elders, teachers, mass media and community networks, significantly influence students’ decisions to pursue higher education (HE). This paper aims to further explore how these agents, within the framework of consumer socialisation theory, act as influential forces at the early stages of the decision-making process, shaping perceptions and providing motivation for Indigenous students’ educational choices. Design/methodology/approach – A three-phase narrative inquiry method was used, including autobiographical accounts from students, yarning sessions with peers and one-on-one interviews. This participatory approach centred Indigenous knowledges to inform culturally responsive social marketing strategies. Findings – The study identified …

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Managing Hybrid Workers And Teams In The Public Sector: From Management By Results To Purposeful Management, Judy Lundy, Uma Jogulu, Helen Taylor, Sue Williamson Jan 2026

Managing Hybrid Workers And Teams In The Public Sector: From Management By Results To Purposeful Management, Judy Lundy, Uma Jogulu, Helen Taylor, Sue Williamson

Research outputs 2022 to 2026

Purpose – Hybrid working has become “business as usual” in Australian public service (APS) organisations, however, limited guidance exists for managers in this sector. This paper aims to identify the management capabilities currently being used and those required for effective management of public sector hybrid workers. Design/methodology/approach – The research is based on the APS as a case study. The research team collected data from 20 focus groups and interviews with 83 managers and supervisors in the APS to answer: What capabilities are public sector managers using to manage hybrid working teams? What additional capabilities are needed? Findings – Participants …

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Metaverse And Artificial Intelligence As Web 4.0: The Next Generation Of The Internet, Anton Klarin, Elena Gorenskaia, Qijie Xiao, Pi-Shen Seet Jan 2026

Metaverse And Artificial Intelligence As Web 4.0: The Next Generation Of The Internet, Anton Klarin, Elena Gorenskaia, Qijie Xiao, Pi-Shen Seet

Research outputs 2022 to 2026

This study utilizes systems thinking to explore and entwine an evolving metaverse scholarship to a relatively underexplored phenomenon of Web 4.0. We adopt a soft systems thinking framework to guide the interpretation of complex and evolving metaverse scholarship, using bibliometric mapping of 5587 publications sourced from Scopus. Using systems thinking, we synthesize these clusters into the following four thematic areas: (i) business and society implications, (ii) optimization, (iii) integration with other technologies and (iv) metaverse education. Drawing on the largest-to-date review of the metaverse as well as a systematic review of Web 4.0 literature, we propose a novel conceptualization of …

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The Paradoxical Effects Of Emerging Mining Technologies On Psychosocial Work Factors: An Integrated Framework And Research Agenda, Keyao Li, Mengting (Rachel) Xia, Tim Bentley Jan 2026

The Paradoxical Effects Of Emerging Mining Technologies On Psychosocial Work Factors: An Integrated Framework And Research Agenda, Keyao Li, Mengting (Rachel) Xia, Tim Bentley

Research outputs 2022 to 2026

As industries strive for healthier, safer, and more productive workplaces, a comprehensive understanding of psychosocial work factors is essential for sustainable improvement. In the context of digital transformation, automation and emerging technologies have led to mixed health and safety outcomes. However, how emerging technologies are reshaping work and organisational structures and driving varied effects, remains unclear. This uncertainty provides little guidance for practitioners and researchers on systematically integrating new technologies to optimise health and safety. This paper argues that a deeper understanding of how the evolving technological landscape affects psychosocial work factors is essential for bridging this research gap. Focusing …

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The Perceptions And Applications Of Cluster Sets In Strength And Conditioning, Tsuyoshi Nagatani, Shayne Vial, Kristina L. Kendall, Paul Comfort, Jiahao Yang, G. Gregory Haff Jan 2026

The Perceptions And Applications Of Cluster Sets In Strength And Conditioning, Tsuyoshi Nagatani, Shayne Vial, Kristina L. Kendall, Paul Comfort, Jiahao Yang, G. Gregory Haff

Research outputs 2022 to 2026

It is well documented that cluster sets, a modified set structure with additional rest between individual repetitions or groups of repetitions, can be used to modulate exercise-induced fatigue during resistance training. While practical guidelines exist, it remains unclear to what extent strength and conditioning (S&C) professionals utilise this programming tactic. The aim of this study was to examine S&C professionals’ perceptions of cluster sets and their application in practice. A secondary aim was to assess the alignment between cluster set programming tactics used in the field and evidence-based recommendations from the scientific and coaching literature. Forty-six S&C professionals (age: 40.0 …

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A Group Motivational Intervention To Support Motivation For Physical Activity Among Adults In Residential Treatment For Substance Use Disorders: A Series Of N-Of-1 Studies, Sascha Thal, Nikos Ntoumanis, Stephen Bright, Bronwyn Myers, Dominika Kwasnicka, Peter Verboon, James Clarke, Eleanor Quested Jan 2026

A Group Motivational Intervention To Support Motivation For Physical Activity Among Adults In Residential Treatment For Substance Use Disorders: A Series Of N-Of-1 Studies, Sascha Thal, Nikos Ntoumanis, Stephen Bright, Bronwyn Myers, Dominika Kwasnicka, Peter Verboon, James Clarke, Eleanor Quested

Research outputs 2022 to 2026

Objective: Physical activity (PA) may offer health benefits for individuals undergoing substance use disorder (SUD) treatment, yet relapse, comorbidities, and motivational challenges often hinder PA maintenance. This study assessed the impact of a motivational intervention aimed at increasing PA motivation and maintenance in a residential SUD treatment setting. Methods and Measures: This non-concurrent multiple-baseline N-of-1 study consisted of a six-week baseline and a ten-week intervention period. The study was conducted with 17 participants from a male-only residential SUD treatment facility in Perth, Australia. Seven participants provided sufficient data for statistical analysis. Participants received ten weekly sessions of a motivational face-to-face …

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Brilliant Little Things: Drama-Based Mindfulness To Support Pre-Service Teacher Wellbeing, Christina C. Gray, John O’Rourke Jan 2026

Brilliant Little Things: Drama-Based Mindfulness To Support Pre-Service Teacher Wellbeing, Christina C. Gray, John O’Rourke

Research outputs 2022 to 2026

Wellbeing is increasingly recognised as a critical concern in teacher education, yet pre-service teachers remain vulnerable to stress, burnout, and early attrition. This study examines Brilliant Little Things, an arts-based wellbeing initiative embedded within a drama education program. Using a phenomenological approach, the research draws on interviews, reflective journals, group chat posts, photographs, and artwork to explore how drama-based mindfulness practices can support the wellbeing of drama educators. Findings reveal how the production fostered reflection, connection, and emotional insight, offering a space for mindfulness and community. Narratives highlight the value of creative, relational pedagogies in strengthening resilience. This research contributes …

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Covert Transmission For Active Ris-Aided Full-Duplex Uav Integrated Sensing, Communication, And Computation Systems, Qi Zhang, Wei Gao, Chuan Liu, Yu Yao, Shihao Yan, Feng Shu, Shi Jin Jan 2026

Covert Transmission For Active Ris-Aided Full-Duplex Uav Integrated Sensing, Communication, And Computation Systems, Qi Zhang, Wei Gao, Chuan Liu, Yu Yao, Shihao Yan, Feng Shu, Shi Jin

Research outputs 2022 to 2026

Next-generation wireless network should accomplish integrated sensing, communication, and computation (ISCC) capabilities. This paper proposes a novel covert transmission scheme based on active reconfigurable intelligent surface (RIS)-enabled full-duplex (FD) unmanned aerial vehicle (UAV)-ISCC framework, where the multi-functional UAV realizes simultaneous target sensing and uplink (UL) covert communication, as well as performing edge computing (EC) for users. To maximize the minimum covert transmission rate (CTR) among all UL users, UAV transmit beamforming and trajectory, RIS weights, power allocation and signal processing in a FD UL transmission system are jointly devised. To tackle the intractable non-convex problem, we leverage second order cone …

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Harnessing Mono-2-(Methacryloyloxy) Ethyl Succinate Grafting For Robust Micro/Nanoplastic-Resistant Ultrafiltration Membranes, Mohadeseh Najafi, Javad Farahbakhsh, Mitra Golgoli, Michael Johns, Masoumeh Zargar Jan 2026

Harnessing Mono-2-(Methacryloyloxy) Ethyl Succinate Grafting For Robust Micro/Nanoplastic-Resistant Ultrafiltration Membranes, Mohadeseh Najafi, Javad Farahbakhsh, Mitra Golgoli, Michael Johns, Masoumeh Zargar

Research outputs 2022 to 2026

The growing presence of microplastics (MPs) and nanoplastics (NPs) in water systems poses a serious threat to conventional treatment processes, particularly membrane filtration. This study focuses on a surface modification strategy for commercial ultrafiltration (UF) membranes via plasma-induced grafting of mono-2-(methacryloyloxy) ethyl succinate (MMES) to enhance resistance against MP/NPs fouling. The membranes were characterised using advanced analytical techniques, including high-resolution scanning electron microscopy (HRSEM), X-ray photoelectron spectroscopy (XPS), and atomic force microscopy (AFM), confirming successful grafting, increased hydrophilicity, and a more negative surface charge. At optimal conditions of grafting (2 min pretreatment, 0.5 M monomer concentration, and 3 h grafting …

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Integrating Environmental Awareness In Underwater Acoustic Networks: A Comprehensive Review, Sadaf Vahabli, Iftekhar Ahmad, Quoc Viet Phung, Daryoush Habibi, Walid K. Hasan, Ruba Zaheer Jan 2026

Integrating Environmental Awareness In Underwater Acoustic Networks: A Comprehensive Review, Sadaf Vahabli, Iftekhar Ahmad, Quoc Viet Phung, Daryoush Habibi, Walid K. Hasan, Ruba Zaheer

Research outputs 2022 to 2026

Underwater Acoustic Networks (UANs) are critical for enabling long-range underwater communication, supporting a wide range of applications, such as environmental monitoring, resource exploration, disaster prevention and marine security. Unfortunately, UANs operate within a limited acoustic spectrum, where these spectrums often overlap with those used by marine animals for communication, navigation and foraging. Additionally, anthropogenic noise from industrial activities contributes to acoustic pollution, intensifying this problem. This frequency overlap poses significant risks to marine life. Therefore, this review highlights the urgent need to develop environmentally aware UANs that minimize harmful acoustic interference with marine mammals, fish and invertebrates. Further, it focuses …

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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 Jan 2026

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 …

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Tea And Coffee Intakes, Copd, Adult Asthma, And Lung Function In The Uk Biobank, Nicola P. Bondonno, Pratik Pokharel, Benjamin H. Parmenter, Alysha S. Thompson, Amy Jennings, Kevin Murray, Howraman Meteran, Jonathan Hodgson, Tilman Kühn, Aedín Cassidy Jan 2026

Tea And Coffee Intakes, Copd, Adult Asthma, And Lung Function In The Uk Biobank, Nicola P. Bondonno, Pratik Pokharel, Benjamin H. Parmenter, Alysha S. Thompson, Amy Jennings, Kevin Murray, Howraman Meteran, Jonathan Hodgson, Tilman Kühn, Aedín Cassidy

Research outputs 2022 to 2026

Introduction: Previous studies suggest non-linear associations between tea and coffee intake and respiratory health, with lower risks at low-to-moderate intakes but higher, unexplored risks at high intakes. This study aims to investigate associations between tea and coffee intake and the risk of chronic obstructive pulmonary disease (COPD) and adult-onset asthma. Methods: Among 366 869 participants of the UK Biobank, intakes of tea and coffee were derived from both a food frequency questionnaire and from repeated 24 hour diet assessments. Cross-sectional associations with measures of lung function [forced expiratory volume in 1 second (FEV1), forced vital capacity (FVC), and FEV1/FVC] and …

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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 Jan 2026

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 …

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C2p-M: Critical Connection Protection In Multiplex Graphs, Conggai Li, Wei Ni, Ming Ding, Youyang Qu, Jianjun Chen, Wenjie Zhang, Thierry Rakotoarivelo Jan 2026

C2p-M: Critical Connection Protection In Multiplex Graphs, Conggai Li, Wei Ni, Ming Ding, Youyang Qu, Jianjun Chen, Wenjie Zhang, Thierry Rakotoarivelo

Research outputs 2022 to 2026

Multiplex graphs represent diverse real-world interactions among entities, where multiple relationship types coexist within the same set of entities. These graphs introduce privacy risks, as data collectors can exploit cross-layer dependencies to infer hidden and sensitive connections. In this work, we propose a C2P-M framework that identifies and protects critical connections while preserving the structural information in multiplex graphs. Unlike conventional methods for single-layer graphs that perturb all edges uniformly, C2P-M selectively protects critical connections, maintaining the analytical usability of the graph. To achieve this, we introduce the multiplex p-cohesion model, which incorporates new score functions that account for both …

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Can Dual-Task High-Velocity Exercise Training Improve Cognitive Function In Older Adults? Secondary Analysis Of An 18-Month Cluster Randomized Controlled Trial, Jamie L. Tait, Rachel L. Duckham, Timo Rantalainen, Catherine M. Milte, Luana C. Main, Caryl A. Nowson, Kerrie M. Sanders, Dennis R. Taaffe, Keith D. Hill, Gavin Abbott, Robin M. Daly Jan 2026

Can Dual-Task High-Velocity Exercise Training Improve Cognitive Function In Older Adults? Secondary Analysis Of An 18-Month Cluster Randomized Controlled Trial, Jamie L. Tait, Rachel L. Duckham, Timo Rantalainen, Catherine M. Milte, Luana C. Main, Caryl A. Nowson, Kerrie M. Sanders, Dennis R. Taaffe, Keith D. Hill, Gavin Abbott, Robin M. Daly

Research outputs 2022 to 2026

Background Identifying strategies to mitigate age-associated cognitive decline is crucial. High-velocity power training enhances physical function in older adults and cognitive training has mixed cognitive benefits, however the combined effects of these interventions remain uncertain. Objective This 18-month cluster randomized controlled trial investigated whether dual-task functional power training (DT-FPT) enhances cognition in older adults and assessed if responses differ by apolipoprotein-E and brain-derived neurotrophic factor (BDNF) polymorphisms. Subjects and Methods Twenty-two independent-living retirement communities (300 residents, ≥65y at increased falls risk) were randomized to 12-months of group-based DT-FPT (6-months supervised +6-months maintenance, 45–60 minutes, 2/week) performed simultaneously with cognitive and/or …

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Check-In To Sustainability: A Comparative Study Of Green Human Resource Management Practices In Emerging And Established Hotels, Abdul Razak Suleman, Mehran Nejati, Janice Redmond, Azadeh Shafaei Jan 2026

Check-In To Sustainability: A Comparative Study Of Green Human Resource Management Practices In Emerging And Established Hotels, Abdul Razak Suleman, Mehran Nejati, Janice Redmond, Azadeh Shafaei

Research outputs 2022 to 2026

Purpose – This study draws on the Natural Resource-Based View (NRBV) to investigate the drivers, implementation and challenges of Green Human Resource Management (Green HRM) practices in Ghana's star-rated hotels. It also examines how these initiatives contribute to achieving relevant Sustainable Development Goals (SDGs). Design/methodology/approach – A qualitative research approach was adopted, involving in-depth interviews with twelve managerial employees purposively sampled from both emerging (1–2 star) and established (3–5 star) hotels in Ghana. Data were thematically analysed to uncover key patterns. Findings – The findings reveal that Green HRM adoption across star-rated hotels in Ghana is driven by a mix …

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Effects Of Recreational Football On Body Composition, Cardiometabolic Health, And Functional Performance In Children And Adolescents: A Systematic Review And Meta-Analysis, Yanzhao Lei, Yanmei Ding, Bo Wang, Hengzhi Deng, Mingyue Yin, Kai Xu, Hengxian Liu, Meiling Tao, Yanfeng Li, Yilin Zhang, Yuhang Liu, Fanhao Meng, Hansen Li, Xing Zhang, Bitai Wu Jan 2026

Effects Of Recreational Football On Body Composition, Cardiometabolic Health, And Functional Performance In Children And Adolescents: A Systematic Review And Meta-Analysis, Yanzhao Lei, Yanmei Ding, Bo Wang, Hengzhi Deng, Mingyue Yin, Kai Xu, Hengxian Liu, Meiling Tao, Yanfeng Li, Yilin Zhang, Yuhang Liu, Fanhao Meng, Hansen Li, Xing Zhang, Bitai Wu

Research outputs 2022 to 2026

Purpose: The systematic review and meta-analysis aimed to evaluate the effects of recreational football on body composition, cardiometabolic health, and functional performance in children and adolescents. Additionally, it explored potential moderators through subgroup analyses. Methods: A systematic search was conducted in six databases in May 2025. A random-effects model was employed for the meta-analysis, and effect sizes were reported as standardized mean differences (SMD, Hedges’ g). Subgroup and sensitivity analyses were conducted to examine sources of heterogeneity. Results: A total of 20 studies (N = 2,906; age range: 8–17 years) were included. Of the participants, 1,524 (52.44%) were male, 1,174 …

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Fall Prevention Strategies And Fall-Related Outcome Measures Used For Inpatients In Mental Health Settings: A Scoping Review, Min Zhang, Gideon Di Ji, Irene Ngune, Khairul Dzakirin Bin Rusli, Maggie Zgambo, Rosemary Saunders, Seng Giap Marcus Ang Jan 2026

Fall Prevention Strategies And Fall-Related Outcome Measures Used For Inpatients In Mental Health Settings: A Scoping Review, Min Zhang, Gideon Di Ji, Irene Ngune, Khairul Dzakirin Bin Rusli, Maggie Zgambo, Rosemary Saunders, Seng Giap Marcus Ang

Research outputs 2022 to 2026

Introduction Patients in mental health settings are at risk of falling and sustaining injury due to the unique risk factors related to their mental illness and its accompanied treatment. Objective To examine the literature on the fall prevention strategies used, and fall-related outcome measures reported for inpatients in mental health settings. Methods A literature search was conducted using Medline, CINAHL, PsycINFO, Web of Science, Scopus and sources from the Grey Literatures. Peer-reviewed research studies that examined fall prevention strategies for inpatients in mental health settings were included. The fall prevention strategies and fall-related outcome measures were extracted and grouped using …

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Gauging Affective Atmospheres In Language Teacher Education Through Dialogic Queering As Transformative Research, Julian Chen, Maggie Mcalinden Jan 2026

Gauging Affective Atmospheres In Language Teacher Education Through Dialogic Queering As Transformative Research, Julian Chen, Maggie Mcalinden

Research outputs 2022 to 2026

Inspired by feminist queering and affect theories to disrupt research norms, we drew on our felt experiences to explore the affective atmosphere of language teacher education. In this experimental work, we harnessed affect and queer theories to contest the gendered, classed, and heteronormative atmosphere of language teacher education using a form of post-qualitative inquiry that we named “dialogic queering”. Given our marginalized backgrounds (queer; academic of colour; working-class female academic), dialogic queering creates spaces to explore difficult but genuine thoughts and feelings while challenging norms entrenched in language teacher education. Underpinned by critical empathy, dialogic queering allowed us to decenter …

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Gut Microbial Composition And Short-Chain Fatty Acid Metabolism In Cognitively Unimpaired Adults Stratified By Amyloid-Β Status, D. M.Sithara Dissanayaka, Thilini N. Jayasinghe, Hamid R. Sohrabi, Stephanie R. Rainey-Smith, Kevin Taddei, Colin L. Masters, Ralph N. Martins, W. M.A.D.Binosha Fernando Jan 2026

Gut Microbial Composition And Short-Chain Fatty Acid Metabolism In Cognitively Unimpaired Adults Stratified By Amyloid-Β Status, D. M.Sithara Dissanayaka, Thilini N. Jayasinghe, Hamid R. Sohrabi, Stephanie R. Rainey-Smith, Kevin Taddei, Colin L. Masters, Ralph N. Martins, W. M.A.D.Binosha Fernando

Research outputs 2022 to 2026

Short-chain fatty acids (SCFAs) produced by gut microbial fermentation influence host metabolism and neuroinflammatory processes implicated in Alzheimer’s disease (AD). However, the relationship between fecal SCFAs, microbial taxa, and cerebral amyloid-β (Aβ) burden in cognitively unimpaired individuals remains unclear. Fecal SCFAs were quantified using GC-MS, and microbial species were profiled by shotgun metagenomics in 87 participants. Associations between SCFAs, demographics, APOE ε4 status, and Aβ burden were tested using nonparametric statistics and multivariable regression. Microbial–SCFA links were evaluated using Spearman correlations and multivariate ordinations, with mediation analysis exploring potential indirect pathways. Acetate was the predominant SCFA and demonstrated the most …

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Insights Into Site Fidelity Of A Low-Density Dugong Population Using Small-Drone Imagery And Photo-Identification, Roxana Newman, Ashwag Asseri, William David Paterson, Deni Porej, Harry Clark, Mishari Alghrair, Winston Cowie, David Charles Wells, Amanda Jane Hodgson Jan 2026

Insights Into Site Fidelity Of A Low-Density Dugong Population Using Small-Drone Imagery And Photo-Identification, Roxana Newman, Ashwag Asseri, William David Paterson, Deni Porej, Harry Clark, Mishari Alghrair, Winston Cowie, David Charles Wells, Amanda Jane Hodgson

Research outputs 2022 to 2026

The feasibility of using unoccupied aerial vehicles (UAVs, ‘drones’) to collect high-resolution still and video imagery of dugongs (Dugong dugon) for photo-identification (photo-ID) in the Sindalah Archipelago, NEOM (area ~ 84 km2), within the northeast Red Sea, Saudi Arabia, was evaluated during opportunistic marine megafauna searches. Drone searches were conducted whenever possible over one year (January 2024 to January 2025). A total of 48 dugong observations were made during 91 days of drone flights, covering a cumulative distance of 5,962 km of flying. Of these, 35 (72.9%) were repeat sightings (range = 2 to 8 resights) of nine …

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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 Jan 2026

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 …

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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 Jan 2026

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 …

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Rapid Classification And Quality Assessment Of Citrus Essential Oils Via Machine-Learning-Assisted Raman Spectroscopy, Yong Xuan Hong, Jia Wei Tang, Jie Chen, Yun Yun Xie, Zhang Wen Ma, Qing Hua Liu, Liang Wang Jan 2026

Rapid Classification And Quality Assessment Of Citrus Essential Oils Via Machine-Learning-Assisted Raman Spectroscopy, Yong Xuan Hong, Jia Wei Tang, Jie Chen, Yun Yun Xie, Zhang Wen Ma, Qing Hua Liu, Liang Wang

Research outputs 2022 to 2026

Citrus essential oils (EOs) require accurate identification and assessment to ensure authenticity and consistency. However, conventional techniques such as gas chromatography (GC) and mass spectrometry (MS) are time-consuming and expensive, highlighting the need for novel analytical methods. This study proposes an approach for EOs detection using Raman spectroscopy (RS) combined with machine learning (ML) algorithms. Six citrus EOs underwent an evaporation experiment, with Raman spectra collected at five time points and GC-MS was used to analyze compositional changes at the starting and ending points of evaporation as a standard reference. Five ML algorithms were developed to identify differences among EOs …

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Sparse Gradient Training For Recommender Systems, Yunke Qu, Liang Qu, Tong Chen, Xiangyu Zhao, Jianxin Li, Hongzhi Yin Jan 2026

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 …

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The Nature Of Agency: Designing Agentic Systems Using A Biomimetic Lens, Tegwen Malik, Laurie Hughes, Yogesh K. Dwivedi, Natalie De Mello, Igor Barahona, Il Jeon Jan 2026

The Nature Of Agency: Designing Agentic Systems Using A Biomimetic Lens, Tegwen Malik, Laurie Hughes, Yogesh K. Dwivedi, Natalie De Mello, Igor Barahona, Il Jeon

Research outputs 2022 to 2026

Purpose: This paper aims to explore how biomimetic principles can inform governance models for agentic artificial intelligence (AI) systems, autonomous, adaptive entities that challenge traditional oversight frameworks. It argues that nature-inspired governance offers a dynamic alternative to static, compliance-based models. Design/methodology/approach: This study adopts a conceptual viewpoint approach. It synthesizes literature on AI governance, systems theory and biomimicry, applying thematic analysis to existing frameworks and mapping identified gaps to five natural principles: symmetry, fractals, cymatic feedback, self-organization and phase transitions. Findings: Current governance frameworks lack mechanisms for managing emergent behaviors and distributed agency in agentic AI. The proposed biomimetic lens …

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Tour Guide Research Revisited: A Thematic Synthesis And Future Directions, Zhicheng Yu, Songshan (Sam) Huang, Jiqing Deng, Wenling Zhou, Zhiyong Li Jan 2026

Tour Guide Research Revisited: A Thematic Synthesis And Future Directions, Zhicheng Yu, Songshan (Sam) Huang, Jiqing Deng, Wenling Zhou, Zhiyong Li

Research outputs 2022 to 2026

Purpose: Existing knowledge on tour guiding is fragmented, which limits the understanding of this important profession. This paper aims to critically examine the progress of tour guide research, identify key theoretical tensions and propose future research directions based on a systematic synthesis of existing knowledge. Design/methodology/approach: A thematic analysis was conducted on 267 papers retrieved from the Web of Science Core Collection, Scopus and Google Scholar databases. Papers were systematically coded, categorized into themes and integrated into a framework that represents relationships among key themes in tour guide research. Findings: The analysis generated an integrated framework consisting of nine interrelated …

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