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2026

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Articles 18001 - 18008 of 18008

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Reflecting On Themes From Telehealth Consultations Early In The Pandemic: An Opportunity To Learn From Multiprofessional Colleagues, Maggie Meeks, Laura R. Joyce, John Dean, Lorna Davies, Tika Ormond, Philippa Seaton, Dale Sheehan, Dean Sutherland, Melanie Welfare, Arindam Basu Jan 2026

Reflecting On Themes From Telehealth Consultations Early In The Pandemic: An Opportunity To Learn From Multiprofessional Colleagues, Maggie Meeks, Laura R. Joyce, John Dean, Lorna Davies, Tika Ormond, Philippa Seaton, Dale Sheehan, Dean Sutherland, Melanie Welfare, Arindam Basu

Research outputs 2022 to 2026

Aims: This study is aimed at documenting the reflections of New Zealand healthcare professionals on the use of synchronous telehealth consultations. Methods: A qualitative narrative inquiry was conducted to explore the practice of telehealth in New Zealand. Purposive sampling was used to identify clinicians from multiple professions who used telehealth during the initial phase of the COVID-19 pandemic. Fifteen semistructured interviews were conducted between October 2020 and May 2021 with clinicians from primary and secondary care, including multiple professional backgrounds. Interview transcripts were analysed thematically. Results: Six themes were identified: (1) equitable access: There were concerns regarding equitable access to …

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A Knowledge-Driven, Ai-Assisted Cyber Defence Framework For Iomt Remote Patient Monitoring, Kulsoom S. Bughio, David M. Cook, Abdul M. Unar Jan 2026

A Knowledge-Driven, Ai-Assisted Cyber Defence Framework For Iomt Remote Patient Monitoring, Kulsoom S. Bughio, David M. Cook, Abdul M. Unar

Research outputs 2022 to 2026

The rapid adoption of Internet Medical Things (IoMT) technologies in remote patient monitoring has reshaped healthcare delivery by enabling continuous, real-time clinical observation outside traditional care settings. However, this shift has also expanded the cyber-attack surface across heterogeneous, resource-constrained medical devices, wireless networks, cloud services, and third-party platforms. In cyber warfare, healthcare has become an incorporated target of geopolitics, with hospitals, remote monitoring systems, and emergency health systems being used to broaden the attack surface for adversaries to exploit. Existing security approaches for IoMT environments remain largely manual, fragmented, and reactive, limiting their effectiveness in dynamically assessing vulnerabilities and supporting …

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A Universal Hybrid Model-Free Deep Quantum–Transfer Learning Controller Enhanced By Grey Wolf Optimization For Dc–Dc Boost Converters With Hardware-In-Loop Validation, Seyyed Morteza Ghamari, Asma Aziz Jan 2026

A Universal Hybrid Model-Free Deep Quantum–Transfer Learning Controller Enhanced By Grey Wolf Optimization For Dc–Dc Boost Converters With Hardware-In-Loop Validation, Seyyed Morteza Ghamari, Asma Aziz

Research outputs 2022 to 2026

This paper proposes a universal hybrid model-free quantum–transfer learning controller with enhanced online grey wolf optimization algorithm (GWO–QTL) for DC–DC boost converter. This system has the characteristics of non-minimum phase behavior, parasitic effects, and fractional-order dynamics because of high frequency operation. These characteristics make analytical modeling complicated and make it difficult to have a single traditional controller that will operate reliably over different converter types. This motivates the creation of a unified model-free control framework that is able to learn directly from the behavior of the converter without relying on the topology specific models. Reinforcement learning, where an agent interacts …

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Maternal Prebiotic Supplementation Modifies Associations Between Intrapartum Antibiotics And Infant Allergy, Summer V.M. Walker, Thomas R. Sullivan, Rachelle A, Pretorius, Nina D'Vaz, Johnny Lo, Johan Garssen, Jeffrey A. Keelan, Desiree Silva, Susan L. Prescott, Claus T. Christophersen, Debra J. Palmer Jan 2026

Maternal Prebiotic Supplementation Modifies Associations Between Intrapartum Antibiotics And Infant Allergy, Summer V.M. Walker, Thomas R. Sullivan, Rachelle A, Pretorius, Nina D'Vaz, Johnny Lo, Johan Garssen, Jeffrey A. Keelan, Desiree Silva, Susan L. Prescott, Claus T. Christophersen, Debra J. Palmer

Research outputs 2022 to 2026

Background: Prebiotics promote growth of beneficial gut bacteria, whereas antibiotics can disrupt the microbial balance, reduce diversity, and potentially cause gut dysbiosis. This investigation aimed to determine whether antibiotic use before, during, or after birth altered the risk of infant allergic disease outcomes within a maternal prebiotic dietary supplementation trial. Methods: Maternal participants were allocated to consume daily prebiotics (galacto-oligosaccharides and fructo-oligosaccharides) or placebo (maltodextrin) powder from 18 to 20 weeks' gestation until 6 months postnatal. All infants had a family history of allergic disease. Maternal and infant antibiotic use was prospectively collected monthly throughout the trial intervention period, and …

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Measuring Teachers’ Beliefs In Their Capacity To Use Differentiated Instruction In Their Classrooms: Development, Validation And Confirmation Of A Self-Efficacy Scale, Kathryn Gibbs, Stuart Woodcock, Nicole Dargue, Leah Le, Eunjae Park, Tom Porter, Gemma Scarparolo Jan 2026

Measuring Teachers’ Beliefs In Their Capacity To Use Differentiated Instruction In Their Classrooms: Development, Validation And Confirmation Of A Self-Efficacy Scale, Kathryn Gibbs, Stuart Woodcock, Nicole Dargue, Leah Le, Eunjae Park, Tom Porter, Gemma Scarparolo

Research outputs 2022 to 2026

The purpose of this study was to develop, validate and confirm a scale to gain a better understanding of teachers’ beliefs in their capacity to use differentiated instruction in their classrooms. Differentiation is an effective approach to teaching, designed to enable equitable learning opportunities for every student. Teachers are recommended to differentiate aspects of teaching, instruction, learning, assessment and the learning environment due to the increasing student heterogeneity within classrooms worldwide. Emerging literature has suggested that teacher self-efficacy may influence how teachers use this teaching approach. It is unknown if there is an existing scale that measures teachers’ self-efficacy when …

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Text Messaging Programs To Support Family Literacy Practices: A Scoping Review, Lennie Barblett, Leanne Lavina, Nicola Johnson, Caroline Barratt-Pugh Jan 2026

Text Messaging Programs To Support Family Literacy Practices: A Scoping Review, Lennie Barblett, Leanne Lavina, Nicola Johnson, Caroline Barratt-Pugh

Research outputs 2022 to 2026

Using bulk digital text messaging has been shown to be effective in many different fields such as health program interventions and supporting parents/carers. Evaluations of these interventions indicate positive changes in practice; however, it appears the potential of digital messaging through short message services (SMS) have not been fully taken advantage of in early childhood education. This scoping review using Arksey and O’Malley’s (2005) approach investigates the current practices of text messaging programs to support families in the development of preschool aged children’s language and literacy learning. Searches of five databases identified 16 articles that fitted our criteria. Results indicate: …

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What Are Information Literacy Skills? Western Australian Primary Teachers’ Interpretations Of The Ict Curriculum, Louise Moroney, Vaille Dawson Jan 2026

What Are Information Literacy Skills? Western Australian Primary Teachers’ Interpretations Of The Ict Curriculum, Louise Moroney, Vaille Dawson

Research outputs 2022 to 2026

Teachers must equip students to navigate an increasingly complex world of unique challenges and opportunities, necessitating the development of a diverse range of transferable skills. These skills are embedded in the General Capabilities (GC) of the Australian school curriculum. Upper primary school teachers’ interpretations of one of the GC, Information and Communication Technology (ICT) learning progressions, was examined, as these skills have become increasingly important with the rise in generative and assistive artificial intelligence. Using an interpretivist paradigm, an exploratory study was used to determine the areas where 36 teachers differed in their interpretations of the learning progression. Data collected …

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Protomix: Unified Prototype Learning For Semantic Change Detection In Remote Sensing, Hengzhi Chen, Kun Hu, Patrick Filippi, Wei Xiang, Thomas Francis Bishop, Zhiyong Wang Jan 2026

Protomix: Unified Prototype Learning For Semantic Change Detection In Remote Sensing, Hengzhi Chen, Kun Hu, Patrick Filippi, Wei Xiang, Thomas Francis Bishop, Zhiyong Wang

Research outputs 2022 to 2026

As an emerging topic, semantic change detection (SCD) in remote sensing aims to both identify the locations of changes before and after events and determine the land cover (LC) classes of changed regions. While deep learning has demonstrated its great potential for SCD, the following two fundamental challenges remain: large variations among the same LC class as well as close similarity between different LC classes, and the severe underutilization of massive unchanged regions, which dominate remote sensing scenes but lack detailed semantic annotations. To address these issues, we propose a novel prototype learning framework for SCD, namely ProtoMix, by leveraging …

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