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Articles 68191 - 68220 of 1113958

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Scale Development For Measuring Sustainability Of Urban Destinations From The Perspectives Of Residents, Tourists, Businesses And Government, S. M. Rasoolimanesh, Shi Y. Chee, Atchara Salee Jan 2025

Scale Development For Measuring Sustainability Of Urban Destinations From The Perspectives Of Residents, Tourists, Businesses And Government, S. M. Rasoolimanesh, Shi Y. Chee, Atchara Salee

Research outputs 2022 to 2026

This study develops four subjective scales to measure a destination’s sustainability from the perspectives of residents, tourists, businesses and government agencies. Using the expert opinion survey, participants were asked to evaluate the initial list of indicators based on five aspects of sustainability, including economic, socio-cultural, environmental, political and technological sustainability for each stakeholder group. Then, the scales were validated using partial least squares - structural equation modeling (PLS-SEM) and confirmatory composite analysis (CCA). This article has a unique theoretical contribution by developing four scales to measure the sustainability of destinations from the perspective of four main stakeholders. Moreover, this article …

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The Effectiveness Of Tech Support Fraud In Damaging Older Individual’S Financial Security, Vanessa Perera Jan 2025

The Effectiveness Of Tech Support Fraud In Damaging Older Individual’S Financial Security, Vanessa Perera

Theses : Honours

This study discovers the tactics employed to create detrimental effects upon older people impacted from fraudulent tech-support incidents. It examines social engineering, and financial confusion of older people. This is significant considering adaptations towards digital banking and payment management. This research looked at online and active over 65s. Using largely qualitative approaches over 65s were interviewed and responses validated against cyber-professionals’ responses. This identified three key findings: older adults feel confused and misunderstand tech support scams; threat actors build trust by pretending to offer technical help but use this to deceive their victims; and older adults face serious social and …

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Mothers, Social Capital And Children’S Physical Literacy Journeys In Rural Australia, Kate Mccreery, Dawn Penney, Ruth Jeanes Jan 2025

Mothers, Social Capital And Children’S Physical Literacy Journeys In Rural Australia, Kate Mccreery, Dawn Penney, Ruth Jeanes

Research outputs 2022 to 2026

In rural communities in Australia, the provision of sport and physical activities for children almost exclusively relies upon parents and their ability to access and contribute to facilities, funding, volunteers, and administration. This paper brings Putnam’s social capital framework to Whitehead’s conceptualisation of physical literacy as a journey to offer original insight into children’s sport participation and the opportunities arising for physical literacy development in rural communities in Australia. Changes in sport participation in Australia and directions in sport policy set an important context for the project, which is located in a small rural community in Western Australia. It was …

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Experimental Investigation On Hydrogen-Rich Syngas Production Via Gasification Of Common Wood Pellet In Bangladesh: Optimization, Mathematical Modeling, And Techno-Econo-Environmental Feasibility Studies, Md Sanowar Hossain, Mujahidul Islam Riad, Showmitro Bhowmik, Barun K. Das Jan 2025

Experimental Investigation On Hydrogen-Rich Syngas Production Via Gasification Of Common Wood Pellet In Bangladesh: Optimization, Mathematical Modeling, And Techno-Econo-Environmental Feasibility Studies, Md Sanowar Hossain, Mujahidul Islam Riad, Showmitro Bhowmik, Barun K. Das

Research outputs 2022 to 2026

Since hydrogen produces no emissions, there is increasing interest in its production throughout the world as the need for clean and sustainable energy grows. Bangladesh has an abundance of biomass, particularly wood pellets, which presents a huge opportunity for gasification to produce hydrogen. Gasification of mahogany (Swietenia mahagoni-SM) and mango (Mangifera indica-MI) wood is performed in a downdraft gasifier to evaluate the impact of particle size, equivalence ratio, and temperature on hydrogen gas composition and gasifier performance. Under the optimal conditions determined by central composite design-response surface methodology (CCD-RSM) optimization, gasification of SM and MI wood can greatly increase hydrogen …

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Assessing The State Of Gender Equality For Skilled Migrant Women: Intersectionality Challenges, Uma Jogulu, Melissa A. Parris, Juliana Mutum Jan 2025

Assessing The State Of Gender Equality For Skilled Migrant Women: Intersectionality Challenges, Uma Jogulu, Melissa A. Parris, Juliana Mutum

Research outputs 2022 to 2026

Purpose: The purpose of this article is to examine the present state of gender equality experienced by skilled migrant women in Australian workplaces by using an intersectionality perspective that takes into account the multiple challenges women face as managers. Design/methodology/approach: Using a mixed methods design, the authors surveyed and interviewed female and male skilled migrants who migrated to Australia as adults “first generation” immigrants and were employed in full-time managerial roles. Findings: The findings show that intersectionality features of gender and cultural background influence skilled migrant managers’ experiences in the workplace, including their opportunities for further career advancement. Their data …

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Design Of An Improved Robust Fractional-Order Pid Controller For Buck–Boost Converter Using Snake Optimization Algorithm, Seyyed Morteza Ghamari, Hasan Molaee, Mehrdad Ghahramani, Daryoush Habibi, Asma Aziz Jan 2025

Design Of An Improved Robust Fractional-Order Pid Controller For Buck–Boost Converter Using Snake Optimization Algorithm, Seyyed Morteza Ghamari, Hasan Molaee, Mehrdad Ghahramani, Daryoush Habibi, Asma Aziz

Research outputs 2022 to 2026

With the increasing complexity of modern power systems, effective control of DC–DC converters has become crucial to ensure stability and efficiency. This paper focuses on optimizing the parameters of a known fractional-order proportional–integral–derivative (FOPID) controller for the control of a DC–DC buck–boost converter. The control of a DC–DC buck–boost converter is achieved using aFOPID approach. The gains of this technique have been enhanced utilizing the snake optimization (SO) algorithm. This converter exhibits unfavourable behaviour due to its non-minimum structure, necessitating a well-regulated controller to guarantee stability. The fractional concept is suggested here to enhance the dynamics of the classical PID …

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Sensitivity Analysis Of Reservoir Characteristics And Flue Gas Composition For Enhanced Oil Recovery In Heterogeneous Reservoir, Mehdi Nassabeh, Zhenjiang You, Alireza Keshavarz, Stefan Iglauer Jan 2025

Sensitivity Analysis Of Reservoir Characteristics And Flue Gas Composition For Enhanced Oil Recovery In Heterogeneous Reservoir, Mehdi Nassabeh, Zhenjiang You, Alireza Keshavarz, Stefan Iglauer

Research outputs 2022 to 2026

The success of enhanced oil recovery depends on optimizing various reservoir factors. While CO2 and flue gas injections are common methods, they encounter challenges that require a deep understanding of reservoir characteristics and thorough analysis of pertinent parameters for effective mitigation. This study aimed to explore the synergistic relationship between flue gas compositions, reservoir characteristics, and injection rates for optimal oil recovery. Unlike prior studies that primarily examined the isolated effects of CO2 or flue gas, this research uniquely investigates the combined impact of real-world flue gas compositions from industrial sources under heterogeneous reservoir conditions. Through extensive sensitivity analysis and …

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The Association Of Cognitive Task Scores With Energy Intake Measurement Error From Technology-Assisted 24 Hr Recalls, Clare Whitton, Barbara A. Mullan, Satvinder S. Dhaliwal, Richard Norman, Carol J. Boushey, Clare E. Collins, Megan E. Rollo, Deborah A. Kerr Jan 2025

The Association Of Cognitive Task Scores With Energy Intake Measurement Error From Technology-Assisted 24 Hr Recalls, Clare Whitton, Barbara A. Mullan, Satvinder S. Dhaliwal, Richard Norman, Carol J. Boushey, Clare E. Collins, Megan E. Rollo, Deborah A. Kerr

Research outputs 2022 to 2026

Measurement error undermines the accuracy of dietary intake data. The 24-hour dietary recall (24HR) is the standard data collection method in nutrition surveillance. Several neurocognitive processes underpin the act of recall, and individuals differ in their performance of these processes. This study aimed to investigate whether variation in neurocognitive processes, measured using four cognitive tasks, was associated with variation in measurement error of 24HRs. Participants (n 139) completed the Trail Making Test, the Wisconsin Card Sorting Test, the Visual Digit Span, and the Vividness of Visual Imagery questionnaire. During a controlled feeding study, participants completed three technology-assisted 24HR; the Automated …

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Educator Professional Subjectivities In Gamification: Knowing, Being And Doing, Natalie-Jane Howard, Elizabeth J. Cook Jan 2025

Educator Professional Subjectivities In Gamification: Knowing, Being And Doing, Natalie-Jane Howard, Elizabeth J. Cook

Research outputs 2022 to 2026

Gamification has emerged as a prominent innovation in contemporary education, yet its influence on the enactment of educators’ professional subjectivities remains underexplored. As such, little is known about how online gamification applications like Kahoot shape the dynamic ways educators perceive, understand and enact their professional selves within higher education contexts. Adopting a tripartite framework of knowing (epistemological), being (ontological) and doing (praxiological), this qualitative study employed visual-elicitation interviews and remote observations with ten lecturers at a Middle Eastern college. The analysis revealed three key themes shaping educator subjectivities: creating and sharing quiz content; conforming with institutional culture; and infantilizing students …

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Multi-Level Explainability In Radiomic-Based Classification Of Multiple Sclerosis And Ischemic Lesions, Nighat Bibi, Kathleen M. Curran, Ronan P. Killeen, Jane Courtney Jan 2025

Multi-Level Explainability In Radiomic-Based Classification Of Multiple Sclerosis And Ischemic Lesions, Nighat Bibi, Kathleen M. Curran, Ronan P. Killeen, Jane Courtney

Research Outputs: 2025-Present

Differentiating multiple sclerosis (MS) from ischemic stroke lesions on MRI remains a clinical challenge due to their similar appearances as white matter hyperintensities. We propose a radiomics-based machine learning framework that integrates multi-level explainable AI (XAI) techniques to support transparent and clinically meaningful lesion classification. Radiomic features are extracted from standardized MRI scans and used to train multiple classifiers, with Random Forest achieving the best performance (accuracy: 91.24%, F1: 86.54%). The framework incorporates four complementary explanation layers: global insights using SHAP, local interpretability via LIME, counterfactual reasoning with DiCE, and clinical narrative generation using GPT-based language models. This layered approach …

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Enhanced Force Sensing Utilizing A Glass-Supported Wgm Microbubble Resonator, Yiming Shen, Zhe Wang, V. R. Anand, Zhuochen Wang, Rayhan Habib Jibon, Anuradha Rout, Bo Cai, Qiang Wu, Yuliya Semenova Jan 2025

Enhanced Force Sensing Utilizing A Glass-Supported Wgm Microbubble Resonator, Yiming Shen, Zhe Wang, V. R. Anand, Zhuochen Wang, Rayhan Habib Jibon, Anuradha Rout, Bo Cai, Qiang Wu, Yuliya Semenova

Research Outputs: 2025-Present

Mechanical force sensors are critical for a wide range of advanced applications. This paper presents a high-performance whispering gallery mode (WGM) force sensor based on a glass-supported microbubble resonator (MBR). By incorporating the proposed glass support design, the proposed sensor achieves the highest force sensitivity reported for MBR-based structures, of 125.71 pm/mN and a detection limit of 52.26 μN. The sensor has a response time of 3.5 ms, enabling rapid detection of dynamic force changes. Further tests show that the sensor is capable of detecting subtle forces, such as those created by water droplets and a gentle breeze, paving the …

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From Design To Deployment: A Holistic Perspective On Design Frameworks, Stability Analysis, And Control Innovations Of Dc Microgrid Architectures, Sandipan Patra, Malabika Basu, Shafi Khadem Jan 2025

From Design To Deployment: A Holistic Perspective On Design Frameworks, Stability Analysis, And Control Innovations Of Dc Microgrid Architectures, Sandipan Patra, Malabika Basu, Shafi Khadem

Research Outputs: 2025-Present

Now-a-days, DC microgrids (DCMGs) are gaining significant traction due to their higher reliability, simpler control strategies and the absence of challenges like synchronisation, harmonics, reactive power regulation, and frequency control. However, integrating various and distributed energy resources in the same DC bus complicates the regulation of the DC bus voltage and power sharing. Various DCMG design architectures have been proposed to enhance power availability, efficiency, and reliability. These architectures usually can be classified into four main types, i.e., single bus, multi-bus, bipolar bus, and reconfigurable bus topologies. Diverse control strategies, including centralised, decentralised, distributed, and hierarchical control with different architectures, …

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Teacher Delivered Block Construction Training Improves Children's Mathematics Performance, Emily K. Farran, Katie A. Gilligan-Lee, Denis Mareschal, Marija Živković, Santa Bartušēvica, Derek Bell, Tim Jay, Camilla Gilmore Jan 2025

Teacher Delivered Block Construction Training Improves Children's Mathematics Performance, Emily K. Farran, Katie A. Gilligan-Lee, Denis Mareschal, Marija Živković, Santa Bartušēvica, Derek Bell, Tim Jay, Camilla Gilmore

Research Outputs: 2025-Present

There is robust evidence for a causal association between spatial thinking and mathematics achievement. However, most research has been lab-based, with spatial training delivered by researchers. We present a teacher delivered, whole-class 6-week spatial training study that involved professional development for practitioners coupled with teacher-led LEGO® block construction training for 6- to 7-year-olds. Using a quasi-experimental design, N = 409 children completed the training and N = 103 children formed a business-as-usual control group. For spatial ability and mathematics, but not spatial language, children in the training condition showed improved performance relative to controls. This finding extends evidence of the …

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A Monitoring Automation Recipe Cookbook: Simple Open-Source Solutions For Home-Based Support Of People Living With Dementia And Their Caregivers, Harish Kambampati, Damon Berry, Julie Doyle, Orla Moran, Jonathan Turner, Micheal Wilson, Suzanne Smith, Dympna O’Sullivan Jan 2025

A Monitoring Automation Recipe Cookbook: Simple Open-Source Solutions For Home-Based Support Of People Living With Dementia And Their Caregivers, Harish Kambampati, Damon Berry, Julie Doyle, Orla Moran, Jonathan Turner, Micheal Wilson, Suzanne Smith, Dympna O’Sullivan

Research Outputs: 2025-Present

Activities of Daily Living (ADLs) are vital to maintaining quality of life among People Living with Dementia (PLwD), whose cognitive impairment often impacts independence in daily activities. This paper presents smart home automation “recipes” that can assist ADLs, particularly bathing—safely one of the most complex due to safety risks like falls and burns. The automation recipes incorporate open-interface sensors, motion detection, and real-time alerts, with features targeted at dementia progression stages.Interventions at early stages include voice reminders and water temperature automatic adjustments; middle-stage features include safety reminders, activity-based inactivity detection, and water shut-off; caregiver-aided monitoring forms the interventions at late …

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Closed Form Solutions Of Bending Bi-Directional Functionally Graded Tapered Beams Using Euler And Timoshenko Theories, Omar K. Omar, Mohammad Alshawabkeh, H. Alkhatib Jan 2025

Closed Form Solutions Of Bending Bi-Directional Functionally Graded Tapered Beams Using Euler And Timoshenko Theories, Omar K. Omar, Mohammad Alshawabkeh, H. Alkhatib

Research Outputs: 2025-Present

No abstract provided.

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Augmented Ensemble Model (Aem) For Health Trends Prediction On Social Networks, Sonia Saini, Ruchi Agarwal, S. P. Singh, Punit Gupta, Ankit Vidhyarthi, Rohit Verma Jan 2025

Augmented Ensemble Model (Aem) For Health Trends Prediction On Social Networks, Sonia Saini, Ruchi Agarwal, S. P. Singh, Punit Gupta, Ankit Vidhyarthi, Rohit Verma

Research Outputs: 2025-Present

Social Media has given an exponential rise to an ever-connected world. Health data that was earlier viewed as hospital records or clinical records is now being shared as text over social media. Information and updates regarding the outbreak of a pandemic, clinical visit results, general health updates, etc., are being analyzed. The data is now shared more frequently in various formats such as images, text, documents, and videos. With fast streaming systems and no constraints on storage spaces, all this shared rich media data is quite voluminous and informative. For shared health data such as discussions on ailments, hospital visits, …

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Predicting Dry Matter Intake In Lactating Crossbred Cows Under Semi-Arid Conditions Using An Error-Based Evolving Takagi-Sugeno Fuzzy Model, Dijair B. Leal, Rafael A. Soares, Vicente R.Rocha Junior, Flavio P. Moncao, Murilo O. Camargos, Marcos F.S.V. D'Angelo, Luis Miralles-Pechuan Jan 2025

Predicting Dry Matter Intake In Lactating Crossbred Cows Under Semi-Arid Conditions Using An Error-Based Evolving Takagi-Sugeno Fuzzy Model, Dijair B. Leal, Rafael A. Soares, Vicente R.Rocha Junior, Flavio P. Moncao, Murilo O. Camargos, Marcos F.S.V. D'Angelo, Luis Miralles-Pechuan

Research Outputs: 2025-Present

Accurately predicting dry matter intake (DMI) in lactating crossbred cows under semi-arid conditions is a critical challenge in dairy farming. Precise DMI predictions are essential for optimizing nutrient utilization and enhancing animal performance, particularly in semi-arid environments, where complex and dynamic conditions prevail. This paper introduces a novel Error-Based Evolving Takagi-Sugeno (EBETS) Fuzzy Model designed to address these challenges by dynamically adapting to real-time data and leveraging both current and historical information to enhance prediction accuracy. The EBETS model employs fuzzy set theory and multivariate Gaussian functions to model complex, nonlinear relationships between variables, offering a more robust and flexible …

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Measuring And Comparing A Century Of Cabinet Formation In The Higher Education Systems Of The United Kingdom And The United States, John Hogan, Sharon Feeney Jan 2025

Measuring And Comparing A Century Of Cabinet Formation In The Higher Education Systems Of The United Kingdom And The United States, John Hogan, Sharon Feeney

Research Outputs: 2025-Present

This article aims to quantitatively analyze the roles of British and American university systems in educating their political elites, specifically their cabinet members, between 1922 and 2021. Employing quantitative indices, the study seeks to provide a comparative assessment of both countries’ higher education systems in political elite formation, in 10-year increments, addressing in a directly comparable manner an issue that has often been examined by qualitative approaches (mainly in comparative institutional studies or democratic theory approaches). The findings indicate that the British universities that educated their country’s cabinet members were more elite and influential than their American counterparts, whereas the …

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Ai-Driven Smart Shopping Carts With Real-Time Tracking And Inventory Forecasting For Enhanced Retail Efficiency, Muhammad Imran Zulfiqar, Ayesha Khalid, Abubakr Siddig, Muhammad Junaid Nawaz, Salim Saay Jan 2025

Ai-Driven Smart Shopping Carts With Real-Time Tracking And Inventory Forecasting For Enhanced Retail Efficiency, Muhammad Imran Zulfiqar, Ayesha Khalid, Abubakr Siddig, Muhammad Junaid Nawaz, Salim Saay

Research Outputs: 2025-Present

This paper presents an AI-driven smart shopping cart system designed to enhance retail efficiency and customer experience through real-time data analytics and machine learning. Traditional shopping carts lack capabilities for adaptive tracking, inventory management, and personalized customer interaction. Our system addresses these gaps with a multi-layered architecture that integrates person-specific tracking, reinforcement learning (RL) for navigation, and Long Short-Term Memory (LSTM) networks for demand forecasting, alongside seamless Point-of-Sale (POS) integration for automated billing. The architecture comprises real-time data capture, edge computing for low-latency decisions, and cloud processing for customer profiling and inventory management. Experimental results demonstrate notable improvements in tracking …

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Microbial Solutions In Agriculture: Enhancing Soil Health And Resilience Through Bio-Inoculants And Bioremediation, Rahul Kumar, Beatrice Farda, Amedeo Mignini, Rihab Djebaili, Leonard Koolman, Alivia Paul, Subhankar Mondal, Joy M. Joel, Aditi Pandit, Periyasamy Panneerselvam, Marika Pellegrini, Debasis Mitra Jan 2025

Microbial Solutions In Agriculture: Enhancing Soil Health And Resilience Through Bio-Inoculants And Bioremediation, Rahul Kumar, Beatrice Farda, Amedeo Mignini, Rihab Djebaili, Leonard Koolman, Alivia Paul, Subhankar Mondal, Joy M. Joel, Aditi Pandit, Periyasamy Panneerselvam, Marika Pellegrini, Debasis Mitra

Research Outputs: 2025-Present

Soil microbes are important for maintaining agricultural ecosystems by promoting nutrient cycling, plant growth, and soil resilience. Microbial-based inoculants, such as bio-inoculants and bioremediation agents, have been identified as suitable means to promote soil health, reduce environmental deterioration, and achieve sustainable agriculture. Bio-inoculants, such as biofertilizers and biopesticides, promote nutrient availability, plant growth, and chemical input dependency reduction. Diverse microbial populations, especially plant growth-promoting bacteria (PGPB), enhance resistance by promoting a symbiotic association with plants and inducing natural resistance against insects. Bioremediation, the second significant microbial intervention, is the use of microorganisms for detoxifying and rehabilitating polluted soils. Methods effectively …

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A Dual-Band Planar Antenna For Angle-Of-Arrival Estimation In On-Body Iot Devices, Abel Zandamela, Nicola Marchetti, Max J. Ammann, Adam Narbudowicz Jan 2025

A Dual-Band Planar Antenna For Angle-Of-Arrival Estimation In On-Body Iot Devices, Abel Zandamela, Nicola Marchetti, Max J. Ammann, Adam Narbudowicz

Research Outputs: 2025-Present

This article proposes a planar dual-band beam-steering compact antenna for Angle-of-Arrival (AoA) estimation in on-body Internet of Things (IoT) devices. The antenna operates at 2.34 and 5.65 GHz bands, with a diameter smaller than λ/2 and a profile of λ/100 , where λ is the wavelength at the lower band. The spherical modes theory is used to discuss the beam-steering and dual-band characteristics, demonstrating continuous beam-scanning performance across the entire horizontal plane. These properties are then studied to realize AoA estimation, where the performance is tested in free space and with a multilayer phantom. Overall, it is demonstrated that a …

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Hri-Confusion: A Multimodal Dataset For Modelling And Detecting User Confusion In Situated Human-Robot Interaction, Na Li, Jane Courtney, Robert Ross Jan 2025

Hri-Confusion: A Multimodal Dataset For Modelling And Detecting User Confusion In Situated Human-Robot Interaction, Na Li, Jane Courtney, Robert Ross

Research Outputs: 2025-Present

The dataset was collected from 28 participants (17 female, 9 male, and 1 non-binary) for a study aimed at modelling and detecting user social behaviours with different confusion states in task-oriented situated human-robot interaction (HRI). The dataset consists of user facial body video recordings synchronised with user speech across three designed experiment scenarios (Tasks 1 - 3). Each experiment lasted approximately one hour per participant. The videos are segmented into individual clips corresponding to specific experimental conversations under predefined conditions: general confusion and non-confusion for Task 1 and 3; and productive confusion, unproductive confusion, and non-confusion for Task 2. In …

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Dual-Band Beam-Steering Antenna For Physical Layer Security In Small Iot Devices, Abel Zandamela, Nicola Marchetti, Max J. Ammann, Adam Narbudowicz Jan 2025

Dual-Band Beam-Steering Antenna For Physical Layer Security In Small Iot Devices, Abel Zandamela, Nicola Marchetti, Max J. Ammann, Adam Narbudowicz

Research Outputs: 2025-Present

This work proposes a dual-band antenna for enhanced physical layer security directional modulation technology in small Internet of Things (IoT) platforms. The design is a stacked-patch structure with λ/2 diameter and λ/10 profile, where λ is the wavelength at the lower band. The cavity model analysis is used to describe the antenna's dual-band capabilities, demonstrating a measured -10dB impedance bandwidth of 10MHz, isolation >13.5dB, and peak realized gain of 5.6dBi at the lower band, i.e. 2.7GHz; these values, respectively change to 50MHz, 14dB, and 5dBi for the upper band (5.48GHz). By exploiting the phase properties of the proposed structure, unidirectional …

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An Empirical Evaluation Of Communication Technologies And Quality Of Delivery Measurement In Networked Microgrids, Yasin Emir Kutlu, Ruairí De Fréin Jan 2025

An Empirical Evaluation Of Communication Technologies And Quality Of Delivery Measurement In Networked Microgrids, Yasin Emir Kutlu, Ruairí De Fréin

Research Outputs: 2025-Present

Networked microgrids (NMG) are gaining popularity as an example of smart grids (SG), where power networks are integrated with communication technologies. Communication technologies enable NMGs to be monitored and controlled via communication networks. However, ensuring that communication networks in NMGs satisfy quality of delivery (QoD) metrics such as the round trip time (RTT) of NMG control data is necessary. This paper addresses the communication network types and communication technologies used in NMGs. We present various NMG deployments to demonstrate real-life applicability in different contexts. We develop a real-time NMG testbed using real hardware, such as Cisco 4331 Integrated Services Routers …

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Artificial Intelligence (Ai)-Driven Technologies For Managing Pediatric Speech And Language Therapy: A Scoping Review, Milad Dadgar, Cathy Ennis, Kesego Mokgosi, Robert Ross Jan 2025

Artificial Intelligence (Ai)-Driven Technologies For Managing Pediatric Speech And Language Therapy: A Scoping Review, Milad Dadgar, Cathy Ennis, Kesego Mokgosi, Robert Ross

Research Outputs: 2025-Present

Objective: Despite the high demand for speech and language therapy (SLT) for children with speech sound disorders (SSDs), accessible services remain limited. Technology-driven efforts have led to the development of systems and applications to assist children, parents, and therapists in the SLT process. AI and machine learning (ML), particularly through automatic speech recognition and audio processing techniques, play a central role in these advancements. This scoping review examines studies focusing on these techniques for managing the SLT process. Methods: To include the most relevant studies, a systematic search was conducted on 3 February 2025 across five major databases (PubMed, Scopus, …

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Large Relative Delay Estimates For Speech Demixing In Assisted Living Environments: A Survey, Swarnadeep Bagchi, Ruairí De Fréin Jan 2025

Large Relative Delay Estimates For Speech Demixing In Assisted Living Environments: A Survey, Swarnadeep Bagchi, Ruairí De Fréin

Research Outputs: 2025-Present

Precise relative delay estimation is important for speech demixing in Assisted Living (AL) scenarios, where large inter-microphone spacing can introduce phase-wraparound ambiguity. This survey comprehensively examines state-of-the-art methods for relative delay estimation and TF masking, focusing on methods that leverage relative delays to compute accurate speech demixing masks. These methods demonstrate that TF masks can be robustly developed using estimates of spatial, spectral, and auditory features. This paper provides a critical analysis of relative delay estimation and speech demixing techniques in AL environments. By examining existing methods, we aim to contribute to the development of effective and robust solutions for …

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Let’S Go Bananas: Beyond Bounding Box Representations For Fisheye Camera-Based Object Detection In Autonomous Driving †, Senthil Yogamani, Ganesh Sistu, Patrick Denny, Jane Courtney, Senthil Yogamani Jan 2025

Let’S Go Bananas: Beyond Bounding Box Representations For Fisheye Camera-Based Object Detection In Autonomous Driving †, Senthil Yogamani, Ganesh Sistu, Patrick Denny, Jane Courtney, Senthil Yogamani

Research Outputs: 2025-Present

Object detection is a mature problem in autonomous driving, with pedestrian detection being one of the first commercially deployed algorithms. It has been extensively studied in the literature. However, object detection is relatively less explored for fisheye cameras used for surround-view near-field sensing. The standard bounding-box representation fails in fisheye cameras due to heavy radial distortion, particularly in the periphery. In this paper, a generic object detection framework is implemented using the base YOLO (You Only Look Once) detector to systematically explore various object representations using the public WoodScape dataset. First, we implement basic representations, namely the standard bounding box, …

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Long-Term Degradation Of U-Values: A Dataset Of Experimental Evidence And Energy Performance Consequences, H. Alkhatib, Omar K. Omar, B. Norton Jan 2025

Long-Term Degradation Of U-Values: A Dataset Of Experimental Evidence And Energy Performance Consequences, H. Alkhatib, Omar K. Omar, B. Norton

Research Outputs: 2025-Present

No abstract provided.

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Magnetite-Assisted Capture Affinity, Concentration Dependence, And Magnetic Extraction Rate Of Bacillus Cereus, Gouri Nilakshika Atapattu, Michelle Giltrap, Furong Tian Jan 2025

Magnetite-Assisted Capture Affinity, Concentration Dependence, And Magnetic Extraction Rate Of Bacillus Cereus, Gouri Nilakshika Atapattu, Michelle Giltrap, Furong Tian

Research Outputs: 2025-Present

The interactions between magnetic nanoparticles (MNP) and bio-surfaces have impacted key industries such as food, biomedicine, water purification, and agriculture. Bacteria, with their diverse bio-surfaces, offer potential for such interactions. Yet, there is a paucity of research interpreting the dynamics behind bacteria–nanoparticle interactions. Advancing this knowledge could improve the industrial applications. Current research gaps include information about the magnetic nanoparticle-assisted concentration dependence of Bacillus cereus and determination of the rate of bacterial extraction by MNPs such as iron oxide nanoparticles (IONPs). Using magnetic IONPs as the choice of MNP, this study aimed to investigate in vitro the interactions between model …

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A Review Of The Efficacy Of Prostate Cancer Therapies Against Castration-Resistant Prostate Cancer, Shengxin Zhang, Tao Zhang, Gemma Kinsella, James Curtin Jan 2025

A Review Of The Efficacy Of Prostate Cancer Therapies Against Castration-Resistant Prostate Cancer, Shengxin Zhang, Tao Zhang, Gemma Kinsella, James Curtin

Research Outputs: 2025-Present

The standard treatments for prostate cancer (PCa) include chemotherapy, hormone therapy, targeted therapies based on androgen receptor (AR) and/or gonadotropin-releasing hormone (GnRH) receptor antagonists, and radiation therapy. But PCa therapeutic resistance remains an unsolved challenge, leading to progression to castration-resistant prostate cancer (CRPC). Emerging PCa therapies – including poly(ADP-ribose) polymerase (PARP) inhibitors, AR crosstalk signalling pathway inhibitors, B-cell lymphoma 2 (BCL-2) inhibitors, cyclin-dependent kinase 4 (CDK4)/CDK6 inhibitors, CRISPR/Cas9, epigenetic inhibitors, and nanotechnology-based drug-delivery approaches – provide promising targeted solutions. Targeted protein degradation therapy, particularly AR degradation therapies, effectively inhibits resistance at its source. This review summarises the established and emerging …

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