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Covert Performance Of Star-Ris Aided Thz Communication System With Rsma And Phase Errors, Xiangbin Yu, Yue Zhou, Shihao Yan, Yun Rui, Xiaoyu Dang, Chau Yuen, Mohsen Guizani Jan 2026

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

Research outputs 2022 to 2026

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


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 …


Design Of Artificial Interference Signal Waveforms For Covert Communication Aided By Multiple Friendly Nodes, Xuyang Zhao, Wei Guo, Yongchao Wang, Shihao Yan Jan 2026

Design Of Artificial Interference Signal Waveforms For Covert Communication Aided By Multiple Friendly Nodes, Xuyang Zhao, Wei Guo, Yongchao Wang, Shihao Yan

Research outputs 2022 to 2026

In this work, we consider a covert communication scenario with multiple friendly interference nodes. The goal is to hide a legitimate communication link from a transmitter to a receiver under a warden’s surveillance. Firstly, we propose a novel strategy for generating artificial noise (AN) signals and formulate a corresponding design problem, aiming to minimize the adverse effects of AN on the legitimate receiver while enhancing communication covertness. Specifically, we optimize the basis matrix for AN signal space using statistical information of the involved channel coefficients, when precise channel state information are unavailable. Secondly, we analyze the geometric structure of the …


Colostrum As A Protective Factor Against Peanut Allergy: Evidence From A Birth Cohort, Maheshwar Bhasin, Matthew Cooper, Patricia Macchiaverni, Ravisha Srinivas Joys, Therese A. O'Sullivan, Jeffrey A. Keelan, Carina Venter, Debra J. Palmer, Adrian J. Lowe, Susan L. Prescott, Desiree Silva, Valerie Verhasselt Jan 2026

Colostrum As A Protective Factor Against Peanut Allergy: Evidence From A Birth Cohort, Maheshwar Bhasin, Matthew Cooper, Patricia Macchiaverni, Ravisha Srinivas Joys, Therese A. O'Sullivan, Jeffrey A. Keelan, Carina Venter, Debra J. Palmer, Adrian J. Lowe, Susan L. Prescott, Desiree Silva, Valerie Verhasselt

Research outputs 2022 to 2026

Background: Food allergy affects families' quality of life, can be lifelong and life-threatening, urging the identification of early modifiable risk factors. Formula feeding in the first days of life may increase the risk of cow's milk allergy, a risk often attributed to cow's milk allergens exposure. Early formula feeding also reduces the colostrum intake, the first 3 days' milk, which is rich in bioactive compounds critical for immune and gut health. This study investigates whether partial colostrum feeding increases the risk of food allergy beyond cow's milk. Methods: Data from 666 mother-infant pairs in the Australian ORIGINS cohort categorised neonates …


Discrepancies In Combat Sports Injury Reporting: A Comparison Of Athlete Self-Reports And Ringside Physician Data, Colin S. Doherty, Oliver R. Barley, Lauren V. Fortington Jan 2026

Discrepancies In Combat Sports Injury Reporting: A Comparison Of Athlete Self-Reports And Ringside Physician Data, Colin S. Doherty, Oliver R. Barley, Lauren V. Fortington

Research outputs 2022 to 2026

Objectives: The objective of this study is to describe and compare competition injuries in combat sports using two sources: (1) athletes' self-reported injury-related health problems (HPs) seven days after the competition, and (2) injury reports completed by ringside physicians immediately after each contest. Design: Cross-sectional study of 29 combat sport events in Western Australia between August 2022 and November 2023. Methods: Athletes reported injury-related HPs through an online questionnaire that included the Oslo Sports Trauma Research Centre Questionnaire on Health Problems 2 (OSTRC-H2). Ringside physicians-documented injuries/medical notes were provided by the Western Australia Combat Sports Commission. Results: Out of 250 …


Navigating Prediabetes In A Foreign Country: A Qualitative Study Of Self-Management Experiences Among Chinese-Speaking Immigrants In Australia, Min Zhang, Kirsten J. Coppell, Johnny Lo, Lisa Whitehead Jan 2026

Navigating Prediabetes In A Foreign Country: A Qualitative Study Of Self-Management Experiences Among Chinese-Speaking Immigrants In Australia, Min Zhang, Kirsten J. Coppell, Johnny Lo, Lisa Whitehead

Research outputs 2022 to 2026

Aim: Chinese-speaking immigrants in Australia have a higher risk of type 2 diabetes and face more barriers to accessing quality healthcare compared to non-culturally and linguistically diverse populations. This study aimed to explore the self-management experiences of Chinese-speaking Australians with self-reported lived experience of prediabetes following immigration. Design: Qualitative study. Methods: Semi-structured interviews were conducted with 10 purposively selected Australian Chinese-speaking immigrants aged over 40 years. Data collection was undertaken in Perth, Western Australia between April and August 2024. Data were analysed using reflexive thematic analysis. Results: Three themes are presented in this paper: (1) An acculturation journey: Reshaping cultural …


Neuromotor Function Following Lower-Limb Muscle Or Tendon Injury: Systematic Review And Meta-Analysis, Jack Andringa-Bate, Moath Almusallam, Molly Coventry, Myles C. Murphy, Ebonie Rio, Tania Pizzari Jan 2026

Neuromotor Function Following Lower-Limb Muscle Or Tendon Injury: Systematic Review And Meta-Analysis, Jack Andringa-Bate, Moath Almusallam, Molly Coventry, Myles C. Murphy, Ebonie Rio, Tania Pizzari

Research outputs 2022 to 2026

Purpose: Alterations in neuromotor function occur following lower-limb injuries and might be a factor in recurrent injury. We evaluated if adults with previous lower-limb muscle or tendon injury demonstrate differences in neuromotor function compared with uninjured or control limbs. Methods: A systematic search of health databases MEDLINE, EMBASE, CINAHL, and SPORTDiscus was conducted from inception until the end of April 2024. Studies evaluating neuromotor function of adults with a history of lower-limb muscle or tendon injury compared to an uninjured contralateral or control limb were included. Inverse variance, random effects meta-analyses were used to generate effect estimates for neuromotor outcomes. …


Research Priorities For Nursing And Allied Health: A Priority-Setting Project Using A Partnership Approach, Marina Weckend, Lucy Gent, Erin Godecke, Linda Coventry, Gemma Doleman, Amanda Towell-Barnard, Lisa Whitehead Jan 2026

Research Priorities For Nursing And Allied Health: A Priority-Setting Project Using A Partnership Approach, Marina Weckend, Lucy Gent, Erin Godecke, Linda Coventry, Gemma Doleman, Amanda Towell-Barnard, Lisa Whitehead

Research outputs 2022 to 2026

Background: Research priorities guide research activities, funding and resources within health services. To ensure that research efforts are meaningful and impactful, it is vital that organisational research agendas reflect the priorities of both healthcare consumers and staff, alongside broader national and international research frameworks. This paper outlines a research priority-setting project conducted across two hospitals in Western Australia, aimed at identifying shared research priorities through a collaborative and inclusive approach. Aim: To identify the top ten nursing and allied health research priorities for two hospitals in Western Australia. Methods: A modified James Lind Alliance Priority Setting Partnership approach was used, …


Staphylococcus Aureus Strain Heterogeneity Modulates Virulence Traits Associated To Dual-Species Biofilms With Candida Albicans, Laure Nicolas Annick Ries, Beata Adrienn Brezniczky, Binduja Srelatha Pradeep, Esther Olabamiji, Lee Hutt, Glenn M. Harper, Alexander Strachan, Gyorgy Fejer Jan 2026

Staphylococcus Aureus Strain Heterogeneity Modulates Virulence Traits Associated To Dual-Species Biofilms With Candida Albicans, Laure Nicolas Annick Ries, Beata Adrienn Brezniczky, Binduja Srelatha Pradeep, Esther Olabamiji, Lee Hutt, Glenn M. Harper, Alexander Strachan, Gyorgy Fejer

School of Biomedical Sciences

Staphylococcus aureus is a commensal Gram-positive bacterium and opportunistic pathogen that exhibits substantial variation in antimicrobial resistance and virulence traits. S. aureus is frequently co-isolated with the fungus Candida albicans, and together they represent the most common microorganisms recovered from biofilm-associated infections originating from both biotic and abiotic surfaces. Despite this clinical relevance, the impact of bacterial intra-species variation on interkingdom interactions remains poorly understood. This study therefore investigated how S. aureus strain heterogeneity influences C. albicans within dual-species biofilms. The majority of the 60 S. aureus strains tested suppressed fungal growth in a contact-dependent manner across different nutrient conditions …


Artificial Intelligence Agents And Agentic Systems In Hospitality And Tourism: Challenges, Opportunities And Research Agenda, Yogesh K. Dwivedi, Mohamed Youssef Ibrahim Helal, Ibrahim A. Elgendy, Mousa Ahmed Albashrawi, Laurie Hughes, Mazen Shawosh, Vincent Dutot, Il Jeon Jan 2026

Artificial Intelligence Agents And Agentic Systems In Hospitality And Tourism: Challenges, Opportunities And Research Agenda, Yogesh K. Dwivedi, Mohamed Youssef Ibrahim Helal, Ibrahim A. Elgendy, Mousa Ahmed Albashrawi, Laurie Hughes, Mazen Shawosh, Vincent Dutot, Il Jeon

Research outputs 2022 to 2026

Purpose: Artificial intelligence (AI) agents and agentic systems have the potential to transform the tourism and hospitality (T&H) industry by automating existing processes and improving operational efficiency. This viewpoint paper aims to explore and analyze the potential opportunities and challenges, and establish a comprehensive research agenda for developing AI agents and agentic systems within the T&H industry. Design/methodology/approach: This article comprehensively analyzes current literature, user sentiment analysis and market trends assessment on AI agents and agentic systems. It identifies critical areas where these technologies can transform the T&H industries, providing valuable insights into this emerging field and its potential for …


Effects Of Resistance Vs High Intensity Interval Training On Myokines And Cancer Cell Suppression In Breast Cancer Survivors: A Randomized Trial, Francesco Bettariga, Dennis R. Taaffe, Cristina Crespo-Garcia, Timothy D. Clay, Mauro De Santi, Giulia Baldelli, Sanjeev Adhikari, Elin S. Gray, Daniel A. Galvão, Robert U. Newton Jan 2026

Effects Of Resistance Vs High Intensity Interval Training On Myokines And Cancer Cell Suppression In Breast Cancer Survivors: A Randomized Trial, Francesco Bettariga, Dennis R. Taaffe, Cristina Crespo-Garcia, Timothy D. Clay, Mauro De Santi, Giulia Baldelli, Sanjeev Adhikari, Elin S. Gray, Daniel A. Galvão, Robert U. Newton

Research outputs 2022 to 2026

Purpose: Reducing recurrence and mortality is crucial for breast cancer survivors. We investigated the effects of a 12-week resistance training (RT) vs high-intensity interval training (HIIT) program on myokines, cytokines secreted by skeletal muscle cells at rest in response to muscle contraction, and cancer cell inhibition. Methods: Twenty-eight survivors of breast cancer (age 55.5 ± 8.8 yr, body mass index 27.9 ± 5.1 kg/m2, time since diagnosis 31 ± 12.3 months) were randomly allocated to a 12-week supervised moderate to high intensity RT (n = 14) or HIIT (n = 14) program 3 days per week. Resting blood …


Generative Artificial Intelligence (Genai) In Procurement And Supply Chain Management: Applications, Opportunities And Challenges, Vinay Singh, Laurie Hughes, Mousa Ahmed Albashrawi, Il Jeon, Yogesh K. Dwivedi Jan 2026

Generative Artificial Intelligence (Genai) In Procurement And Supply Chain Management: Applications, Opportunities And Challenges, Vinay Singh, Laurie Hughes, Mousa Ahmed Albashrawi, Il Jeon, Yogesh K. Dwivedi

Research outputs 2022 to 2026

Purpose: This article aims to explore the transformative potential of generative artificial intelligence (GenAI) in procurement and supply chain management (SCM), with a focus on its practical applications, strategic implications and integration challenges. Design/methodology/approach: Adopting a conceptual approach, this article presents the authors’ views and arguments, supported by a review of existing literature and informed by insights from discussions with industry experts. The discussion in this conceptual article is anchored in the supply chain operations reference model. Findings: This research addresses critical questions regarding the practical and strategic impacts of GenAI, emphasizing its ability to simulate scenarios, deliver real-time insights …


Children And Adults Across 15 Countries Believe In Human Uniqueness Of Mind: A Cross-Cultural Investigation Of Cross-Species Mind Perception, Karri Neldner, Luke Maurits, Magie Junker, Lara Abbas, Nayrouz Abbas, Arianna Abis, Federica Amici, Bernardo Arroyo-Garcia, Negar Asghari, Giovanna Barragán Pardo, Zhen Zhang, Junior Peña Chumacero, Ardain Dzabatou, Dustin Eirdosh, Susan Hanisch, Tom Herrnsdorf, Tom Hovehne, Alicia Junker, Patricia Kanngiesser, Felipe Villa Larens, Safaa Mahmoud, Sandra Masaquiza, Iino Masato, Risma Illa Maulany, Tongtong Meng, Kardelen Mutlu, Putu Oka Ngakan, Ebru Peközer, Ljubica Petrović, Mirella Christy Rehatalanit Jan 2026

Children And Adults Across 15 Countries Believe In Human Uniqueness Of Mind: A Cross-Cultural Investigation Of Cross-Species Mind Perception, Karri Neldner, Luke Maurits, Magie Junker, Lara Abbas, Nayrouz Abbas, Arianna Abis, Federica Amici, Bernardo Arroyo-Garcia, Negar Asghari, Giovanna Barragán Pardo, Zhen Zhang, Junior Peña Chumacero, Ardain Dzabatou, Dustin Eirdosh, Susan Hanisch, Tom Herrnsdorf, Tom Hovehne, Alicia Junker, Patricia Kanngiesser, Felipe Villa Larens, Safaa Mahmoud, Sandra Masaquiza, Iino Masato, Risma Illa Maulany, Tongtong Meng, Kardelen Mutlu, Putu Oka Ngakan, Ebru Peközer, Ljubica Petrović, Mirella Christy Rehatalanit

School of Psychology

The way humans relate to other animals is fundamentally shaped by whether we perceive ourselves as unique, with feelings and thoughts not shared by other animals. How beliefs about animals’ ability to feel and think develop across cultures remains largely unexplored. We asked children and adolescents (4–17 years, N = 1025) and adults (N = 190) from 33 urban and rural communities across 15 countries whether animals have thoughts or feelings (judgments of presence), and whether those thoughts or feelings are human-like (judgments of similarity). Bayesian analyses revealed that participants generally ascribed non-human animals the ability for thoughts and feelings. …


“The True Me”: Unravelling The Dual Narrative Of Borderline Personality Disorder And Autistic Spectrum Disorder, Robin Iliffe-Lewis, Alison Bacon Jan 2026

“The True Me”: Unravelling The Dual Narrative Of Borderline Personality Disorder And Autistic Spectrum Disorder, Robin Iliffe-Lewis, Alison Bacon

School of Psychology

Objectives: There is growing recognition that some individuals who receive a diagnosis of Borderline Personality Disorder (BPD) are later diagnosed with autism. However, existing literature on this topic remains limited. This study aimed to explore the experiences of individuals diagnosed with BPD prior to autism, how they made sense of these diagnoses, navigated clinical systems, and learnt to manage the complex challenges associated with this diagnostic sequence.Methods: Thirteen (6 male, 6 female, 1 non-binary) adult participants took part in semi-structured interviews exploring their diagnostic journeys. Reflexive thematic analysis was used to develop a nuanced understanding of their experiences.Results: Three themes …


Psychophysiological Recovery From Viewing Nature And Urban Settings: A Multisite Replication, A. E. Van Den Berg, K. Dijkstra, D. Meuwese, F. Beute, P. M. Darcy, S. Dewitte, B. Gatersleben, C. J. Gidlow, C. M. Hägerhäll, J. A. Hipp, Y. Joye, Y. A.W. De Kort, S. C.M. Lechner, C. Neale, Sang Ode Sang, J. Roe, D. T. Scheepers, K. Smolders, H. Staats, R. S. Steensma, K. J. Wyles, S. L. Koole Jan 2026

Psychophysiological Recovery From Viewing Nature And Urban Settings: A Multisite Replication, A. E. Van Den Berg, K. Dijkstra, D. Meuwese, F. Beute, P. M. Darcy, S. Dewitte, B. Gatersleben, C. J. Gidlow, C. M. Hägerhäll, J. A. Hipp, Y. Joye, Y. A.W. De Kort, S. C.M. Lechner, C. Neale, Sang Ode Sang, J. Roe, D. T. Scheepers, K. Smolders, H. Staats, R. S. Steensma, K. J. Wyles, S. L. Koole

School of Psychology

The idea that merely viewing nature can promote stress recovery has profound societal implications, driving the use of nature imagery in the design of environments where access to real nature is limited. Scientific support for this concept originates from a pioneering study by Ulrich et al. (1991), which demonstrated superior psycho-physiological stress recovery during exposure to nature videos compared to urban videos. Despite its influence, this foundational study has never been systematically replicated. To address this gap, ten research teams across the Netherlands, Belgium, the UK, Sweden, and the USA collaborated on a multisite replication. A final sample of 959 …


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 …


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 …


Limited Site-Specific Blue Carbon Recovery Following Tropical Seagrass Restoration In Thailand, Ratchanee Kaewsrikhaw, Milica Stankovic, Pere Masqué, Mathew A. Vanderklift, Tipamat Upanoi, Anchana Prathep Jan 2026

Limited Site-Specific Blue Carbon Recovery Following Tropical Seagrass Restoration In Thailand, Ratchanee Kaewsrikhaw, Milica Stankovic, Pere Masqué, Mathew A. Vanderklift, Tipamat Upanoi, Anchana Prathep

Research outputs 2022 to 2026

Seagrass restoration is gaining popularity as a nature-based method for climate change mitigation, owing to its effectiveness in capturing and storing organic carbon (Corg). However, demonstrating blue carbon additionality — defined as a measurable increase in carbon stocks directly attributable to restoration activities — remains challenging. This research assessed sedimentary Corg stocks and carbon accumulation rates in restored tropical seagrass meadows throughout Thailand. Despite successful restoration at multiple sites, sediment analysis showed little Corg accumulation, low Corg and organic matter content, with non-significant differences among restored seagrass areas, patchy natural meadows, and nearby bare sand areas. Limited sediment accumulation was …


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 …


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 …


Tourism Destination Mobile Applications: An Ai-Human Loop Analysis And Future Research Programme, Arghavan Hadinejad, Naser Pourazad, Lara Stocchi, Violetta Wilk Jan 2026

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 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 …


Addressing Professional Tensions Through Intellectual Candour And Stewardship, Thoughtful Dialoguing As A Duoethnographic Collaborative Exploration, Sarah Barradell, Narelle Lemon Jan 2026

Addressing Professional Tensions Through Intellectual Candour And Stewardship, Thoughtful Dialoguing As A Duoethnographic Collaborative Exploration, Sarah Barradell, Narelle Lemon

Research outputs 2022 to 2026

Using duoethnography, we explore our experiences of physiotherapy practice and education and argue that the profession’s desire for credibility is at the expense of vulnerability, risk and intellectual candour–of imagining the profession and education of its graduates differently. We identified key themes around: alignment/misalignment, reflection/reflexivity and professional scope. This methodology models risk and questioning through the juxtaposition of different perspectives. Through our contrasting narratives, we remain open to new forms of learning, modelling what intellectual candour demands from us: facing the problems of the past so that we might learn from our history and change our future. This can be …


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 Jan 2026

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 …


Association Of Sarcopenic Obesity With Dementia Risk In A Cohort Of Older Women, Zhongyang Guan, Blossom C.M. Stephan, Lorenzo M. Donini, Joshua R. Lewis, Carla M. Prado, Richard L. Prince, David Scott, Kun Zhu, Marc Sim, Mario Siervo Jan 2026

Association Of Sarcopenic Obesity With Dementia Risk In A Cohort Of Older Women, Zhongyang Guan, Blossom C.M. Stephan, Lorenzo M. Donini, Joshua R. Lewis, Carla M. Prado, Richard L. Prince, David Scott, Kun Zhu, Marc Sim, Mario Siervo

Research outputs 2022 to 2026

Background and aims: Longitudinal studies have explored the association between sarcopenic obesity (SO) and the risk of cognitive impairment, yet findings remain mixed. This study aimed to investigate the associations of SO with risk of incident dementia in older women, using two diagnostic models: the Sarcopenic Obesity Global Leadership Initiative (SOGLI) and the load-capacity model. Methods: We analysed data from 900 community-dwelling women (aged ≥70 years). SO was defined using two models: (1) the SOGLI criteria, based on low handgrip strength (HGS), low appendicular lean soft tissue to body weight (ALST/W) ratio, and high fat mass percentage (%FM); and (2) …


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 Jan 2026

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 …


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 …


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 …


Compassionate Communities, Māori Ageing And End-Of-Life: A Systematic Review, Melissa Carey, Kathleen Mason, Levi Fox, Tess Moeke-Maxwell, Merryn Gott Jan 2026

Compassionate Communities, Māori Ageing And End-Of-Life: A Systematic Review, Melissa Carey, Kathleen Mason, Levi Fox, Tess Moeke-Maxwell, Merryn Gott

Research outputs 2022 to 2026

Background: Māori people in Aotearoa New Zealand and Australia experience significant healthcare inequity as they age and towards the end of their lives. Compassionate community approaches to ageing and end-of-life care are increasing in popularity throughout the world. However, this approach has arisen from Eurocentric knowledge systems and not from First Nations people and their communities. Objectives: This research aimed to gain insight into what the Compassionate Communities approach means for First Nations people and identify implications for Māori in Aotearoa New Zealand and Australia. A systematic literature review explored the intersection of Compassionate Communities and First Nations peoples’ perspectives …


Effect Of Caffeine Ingestion On Cycling Performance: A Systematic Review And Meta-Analysis, Jinyan Wu, Kai Xu, Mingyue Yin, Xianming Ding, Tong Wang, Qiubo Zhang, Xiaowei Wu, Ningkun Xiao Jan 2026

Effect Of Caffeine Ingestion On Cycling Performance: A Systematic Review And Meta-Analysis, Jinyan Wu, Kai Xu, Mingyue Yin, Xianming Ding, Tong Wang, Qiubo Zhang, Xiaowei Wu, Ningkun Xiao

Research outputs 2022 to 2026

This study aimed to determine the effects of acute caffeine ingestion on cycling performance through a systematic review and meta-analysis, while also exploring the moderating roles of caffeine dosage, training status, and athlete age. A comprehensive search was conducted across five databases, yielding 20 eligible studies with a total of 226 participants. A three-level mixed-effects model was applied to pool main effects on cycling time trial performance, mean power output, mean heart rate, and ratings of perceived exertion (RPE). Subgroup analyses and meta-regression were performed to examine potential moderators. Caffeine intake significantly reduced cycling completion time (SMD = −0.36, 95% …