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Articles 158551 - 158580 of 158580
Full-Text Articles in Entire DC Network
Consensus-Based Research Priorities For Post-Collision Care In The Western Cape Province Of South Africa, Naseef Abdullah, Tim Nutbeam, Colleen J. Saunders, Craig Wylie, Nigel Lang, Willem Stassen
Consensus-Based Research Priorities For Post-Collision Care In The Western Cape Province Of South Africa, Naseef Abdullah, Tim Nutbeam, Colleen J. Saunders, Craig Wylie, Nigel Lang, Willem Stassen
Peninsula Medical School
Introduction: Road traffic injuries constitute a significant global health burden, causing 1.3 million deaths and 50million injuries annually, with 92 % of fatalities occurring in low-and middle-income countries (LMICs). Despitethis disproportionate impact, research priorities in post-collision care often reflect high-income country contexts,creating a critical misalignment between evidence generation and contextual realities in LMICs.Methods: This mixed-methods study employed a three-phase approach to identify research priorities for postcollision care in the Western Cape, South Africa. Phase 1 consisted of a comprehensive literature review toidentify preliminary thematic areas and research questions. Phase 2 involved a stakeholder engagement workshop using modified nominal group techniques …
Letter-To-The-Editor To The Study By Bartek J Et Al “Multidisciplinary Consensus-Based Statement On The Current Role Of Middle Meningeal Artery Embolization (Mmae) In Chronic Subdural Hematoma (Csdh)” – A Letter From The International Csdh Research Group Committee, Icoric, T.S.R. Jensen, J. Duerinck, D. Holl, C. Iorio-Morin, J. Soleman, E. Edlmann
Letter-To-The-Editor To The Study By Bartek J Et Al “Multidisciplinary Consensus-Based Statement On The Current Role Of Middle Meningeal Artery Embolization (Mmae) In Chronic Subdural Hematoma (Csdh)” – A Letter From The International Csdh Research Group Committee, Icoric, T.S.R. Jensen, J. Duerinck, D. Holl, C. Iorio-Morin, J. Soleman, E. Edlmann
Peninsula Medical School
No abstract provided.
Il-1 Signal Inhibition In Alcohol-Related Hepatitis: A Randomized, Double-Blind, Placebo-Controlled Trial Of Canakinumab, Nikhil Vergis, Vishal Patel, Karolina Bogdanowicz, Justyna Czyzewska-Khan, Rosemary Keshinro, Francesca Fiorentino, Emily Day, Paul Middleton, Stephen Atkinson, Thomas Tranah, Mary Cross, Daphne Babalis, Neil Foster, Emma Lord, Alberto Quaglia, Josephine Lloyd, Robert Goldin, William Rosenberg, Richard Parker, Paul Richardson, Steven Masson, Gavin Whitehouse, Cyril Sieberhagan, David Patch, Nikolai Naoumov, Ashwin Dhanda, Ewan Forrest, Mark Thursz
Il-1 Signal Inhibition In Alcohol-Related Hepatitis: A Randomized, Double-Blind, Placebo-Controlled Trial Of Canakinumab, Nikhil Vergis, Vishal Patel, Karolina Bogdanowicz, Justyna Czyzewska-Khan, Rosemary Keshinro, Francesca Fiorentino, Emily Day, Paul Middleton, Stephen Atkinson, Thomas Tranah, Mary Cross, Daphne Babalis, Neil Foster, Emma Lord, Alberto Quaglia, Josephine Lloyd, Robert Goldin, William Rosenberg, Richard Parker, Paul Richardson, Steven Masson, Gavin Whitehouse, Cyril Sieberhagan, David Patch, Nikolai Naoumov, Ashwin Dhanda, Ewan Forrest, Mark Thursz
Peninsula Medical School
Background and Aims: Short-term mortality in alcohol-related hepatitis (AH) is high, and no current therapy results in durable benefit. A role for interleukin (IL)-1β has been demonstrated in the pathogenesis of alcohol-induced steatohepatitis. This study explored the safety and efficacy of canakinumab (CAN), a monoclonal antibody targeting IL-1β, in the treatment of patients with AH. Methods: Participants with biopsy-confirmed AH and discriminant function ≥32 but Model for End-Stage Liver Disease ≤27 were randomly allocated 1:1 to receive either CAN 3 mg/kg or placebo (PBO). Liver biopsies were taken before and 28 days after treatment. The primary endpoint was the overall …
Discussing Poverty Within Primary Care Consultations: Implications For Mental Health Support, F. Thomas, K. Wyatt, K. Berzins, I. Lee, J. Horrell, A. Mcloughlin
Discussing Poverty Within Primary Care Consultations: Implications For Mental Health Support, F. Thomas, K. Wyatt, K. Berzins, I. Lee, J. Horrell, A. Mcloughlin
Peninsula Medical School
No abstract provided.
A Mapping Review Of Studies Exploring The Barriers And Facilitators To A Dementia Diagnosis Through An Intersectionality Lens, Ben Hicks, Katherine Wheatley, Emma Porter, Nicolas Farina, Sube Banerjee
A Mapping Review Of Studies Exploring The Barriers And Facilitators To A Dementia Diagnosis Through An Intersectionality Lens, Ben Hicks, Katherine Wheatley, Emma Porter, Nicolas Farina, Sube Banerjee
Peninsula Medical School
BackgroundPromoting a ‘timely’ diagnosis is a global policy directive.AimsThis review adopts an intersectional approach, visually mapping the existing literature to highlight gaps in the evidence base on barriers and facilitators to dementia diagnosis.MethodA systematic approach was undertaken, following the PRISMA guidelines, updating previous reviews. The literature search was conducted on PubMed, PsycINFO, CINAHL Complete and Scopus. In line with mapping review methodology, we report the current state of the literature by describing the number of studies that outline barriers and facilitators to seeking help for a dementia diagnosis, split by social categorisation.ResultsOn the 7 June 2024, a total of 45 …
From Hospital Discharge To Long-Term Care: Unmet Rehabilitation Needs In Cauda Equina Syndrome Patients From A National Uk Cohort, Uces Collaborators, British Neurosurgical Trainee Research Collaborative, Holly Roy, Krithika Anil, Jack Read, Marcus J. Drake, Ingrid Hoeritzauer, Julie Woodfield
From Hospital Discharge To Long-Term Care: Unmet Rehabilitation Needs In Cauda Equina Syndrome Patients From A National Uk Cohort, Uces Collaborators, British Neurosurgical Trainee Research Collaborative, Holly Roy, Krithika Anil, Jack Read, Marcus J. Drake, Ingrid Hoeritzauer, Julie Woodfield
Peninsula Medical School
Objectives: Although long term disability may be a consequence of cauda equina syndrome (CES), the evidence base for the effect of rehabilitation or different rehabilitation strategies is lacking. Our aim was to understand long term neurological deficits (understood as rehabilitation needs) and current rehabilitation provision for patients with CES. Methods: We retrospectively analysed data from a large UK wide cohort of CES patients presenting between 1st June 2018 and 31st May 2019. Rehabilitation referrals and attendance were described, and symptoms at discharge and one year were identified as potential targets for rehabilitation. Results: Physiotherapy was the most common inpatient rehabilitation …
Tetrazole-Containing Naphthalene Bis-Sulfonamide Keap1-Nrf2 Interaction Inhibitors With Unexpected Binding Modes, Nikolaos D Georgakopoulos, Sandeep K Talapatra, Sharadha Dayalan Naidu, Dina Dikovskaya, Maureen Higgins, Jemma Gatliff, Roxani Nikoloudaki, Marjolein Schaap, Jasmine M Walker, Christopher Wardby, Albena T Dinkova-Kostova, Sarah Harris, Frank Kozielski, Geoff Wells
Tetrazole-Containing Naphthalene Bis-Sulfonamide Keap1-Nrf2 Interaction Inhibitors With Unexpected Binding Modes, Nikolaos D Georgakopoulos, Sandeep K Talapatra, Sharadha Dayalan Naidu, Dina Dikovskaya, Maureen Higgins, Jemma Gatliff, Roxani Nikoloudaki, Marjolein Schaap, Jasmine M Walker, Christopher Wardby, Albena T Dinkova-Kostova, Sarah Harris, Frank Kozielski, Geoff Wells
Peninsula Medical School
Naphthalene bis-sulfonamides are amongst the most studied inhibitors of the interaction between Kelch-like ECH-associated protein-1 (Keap1), a ubiquitination facilitator protein and the nuclear factor erythroid 2-related factor 2 (Nrf2), a transcription factor associated with diverse cytoprotective responses. The compounds bind to the C-terminal Kelch domain of Keap1 and occupy the Nrf2 binding pocket, causing Nrf2 to accumulate and increase the expression of a battery of antioxidant response element genes. The binding modes of the compounds have been characterised through a series of X-ray crystallography and binding assay studies. In this work we have evaluated a series of symmetric and asymmetric …
Understanding How Hearing Works, Cecilia Zoutewelle
Understanding How Hearing Works, Cecilia Zoutewelle
A. The Science of Sound
A 7-page introductory overview of the anatomical and neurological processes of hearing, with illustrations and bullet-point summaries.
Deep Dive In Sound Filtering, Cecilia Zoutewelle
Deep Dive In Sound Filtering, Cecilia Zoutewelle
A. The Science of Sound
A 7-page report, with illustrations and bullet-point summaries, on the ways we filter sounds as part of the standard process of hearing. Includes brief considerations of evolution, selective listening in conversations, and listening bias.
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
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, …
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
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 …
Beyond Genes: Non-Canonical Mechanisms Driving Antimicrobial Resistance In Bacteria, Leonard Koolman, Chijioke Emenike, Debasis Mitra, Sourav Chattaraj
Beyond Genes: Non-Canonical Mechanisms Driving Antimicrobial Resistance In Bacteria, Leonard Koolman, Chijioke Emenike, Debasis Mitra, Sourav Chattaraj
Research Outputs: 2025-Present
Antimicrobial resistance (AMR) is traditionally discussed in the context of horizontally acquired resistance genes and point mutations at target loci. However, this gene-centred model fails to account for a large number of clinically important modalities of resistance. There is now substantial evidence implicating bacteria in the ability to escape the effects of antibiotics in a variety of non-canonical ways, which are not considered in traditional diagnostic and surveillance pipelines. Among these factors, we can list those arising from global regulatory networks, phase variability, epigenetic tuning, small RNAs, genome structural variability, and phenotypic states like tolerance and persistence. This review will …
Characterization Of Bacterial And Fungal Populations In Retail Kefirs In Ireland, Léon Maughan, Leonard Koolman, Guerrino Macori, Christina Killian, Séamus Fanning, Paul Whyte, Declan Bolton
Characterization Of Bacterial And Fungal Populations In Retail Kefirs In Ireland, Léon Maughan, Leonard Koolman, Guerrino Macori, Christina Killian, Séamus Fanning, Paul Whyte, Declan Bolton
Research Outputs: 2025-Present
No abstract provided.
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
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 …
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
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 …
Ethical Implications Of Chatgpt And Other Large Language Models In Academia, Ahmad Almufarreh, Ashfaq Ahmad, Muhammad Arshad, Choo Wou Onn, Robinson Elechi
Ethical Implications Of Chatgpt And Other Large Language Models In Academia, Ahmad Almufarreh, Ashfaq Ahmad, Muhammad Arshad, Choo Wou Onn, Robinson Elechi
Research Outputs: 2025-Present
The rapid advancement of technology in the digital age has significantly transformed human communication and knowledge exchange. At the forefront of this transformation are Large Language Models (LLMs), powerful neural networks trained on vast text corpora to perform a wide range of Natural Language Processing (NLP) tasks. While LLMs offer promising benefits such as enhanced productivity and human-like text generation, their integration into academic settings raises pressing ethical concerns. This study investigates the ethical dimensions surrounding the use of LLMs in academia, driven by their increasing prevalence and the need for responsible adoption. A mixed-methods approach was employed, combining surveys, …
Computational Argumentation And Automatic Rule-Generation For Explainable Data-Driven Modeling, Luca Longo, Serena Berretta, Damiano Verda, Lucas Rizzo
Computational Argumentation And Automatic Rule-Generation For Explainable Data-Driven Modeling, Luca Longo, Serena Berretta, Damiano Verda, Lucas Rizzo
Research Outputs: 2025-Present
The creation of data-driven models for classification problems requires increasing transparency and inferential explainability, especially in high-stakes domains such as health-care, finance, and policy making. Rule-based systems are widely regarded as a strong candidate for the development of models that are also comprehensible to humans. However, the generated rules are often considered individually with minimal or no consideration of their interactions. This research focuses on the adoption of computational argumentation techniques, which allow for rule-interaction for enhanced explainability. In other words, rules can be revoked when new information is introduced, essentially achieving the notion of non-monotonicity. In detail, an empirical …
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
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 …
The Impact Of Circular Economy Practices On Sustainable Logistics Performance, Chao Ji-Hyland, David White, Ravshan Khaydarov
The Impact Of Circular Economy Practices On Sustainable Logistics Performance, Chao Ji-Hyland, David White, Ravshan Khaydarov
Research Outputs: 2025-Present
Despite increasing attention being paid to the circular economy practices (CEPs) that enable firms to improve sustainable logistics performance (SLP), the existing research lacks empirical evidence from larger surveys and the development of a framework that investigates the relationships between CEPs and SLP in logistics practices. This research aims to propose and measure a wider CEPs and SLP framework. This research employs a two-stage method to develop a model and utilise structural equation modelling of survey data from a sample of Irish logistics firms. The results indicate that reverse logistics and remanufacturing are the two key CEPs. The findings support …
Dual-Band Beam-Steering Antenna For Physical Layer Security In Small Iot Devices, Abel Zandamela, Nicola Marchetti, Max J. Ammann, Adam Narbudowicz
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 …
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
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 …
A Hybrid Transformer Architecture For Multiclass Mental Illness Prediction Using Social Media Text, Adnan Karamat, Muhammad Imran, Muhammad Usman Yaseen, Rasool Bukhsh, Sheraz Aslam, Nouman Ashraf
A Hybrid Transformer Architecture For Multiclass Mental Illness Prediction Using Social Media Text, Adnan Karamat, Muhammad Imran, Muhammad Usman Yaseen, Rasool Bukhsh, Sheraz Aslam, Nouman Ashraf
Research Outputs: 2025-Present
Mental illness prediction through text involves employing natural language processing (NLP) techniques and deep learning algorithms to analyze textual data for the identification of mental disorders. Therefore, machine learning and deep learning algorithms have been utilized in the existing literature for the detection of mental illness. However, current systems exhibit suboptimal performance primarily due to their reliance on traditional embedding techniques and generic language models to generate text embeddings. To address this limitation, there is a requirement for domain-specific pretrained language models that comprehensively understand the context found in posts of person with a psychiatric disability patients. Posts from individuals …
A High Balance-Ratio Dipole With Low Passive Intermodulation Distortion, Kok Loon Wong, Max J. Ammann
A High Balance-Ratio Dipole With Low Passive Intermodulation Distortion, Kok Loon Wong, Max J. Ammann
Research Outputs: 2025-Present
A wideband grid dipole with low passive intermodulation (PIM) distortion, low profile, and low cost is proposed for multi-input multi-output (MIMO) cellular base station applications. The proposed dipole with a high ratio of unbalanced to balanced current can be achieved by introducing a circular loop at the center of a dipole arm to suppress the unwanted current traveling from the dipole arm to outer coaxial shield. As a result, the profile can be reduced from 0.25λ 0to 0.19 λ 0 due to a 6-dB improvement in PIM performance. The third-order PIM distortion <-151 dBc (at 2 × 43 dBm carriers) is obtained over the operating bandwidth. The 14-dB impedance bandwidth is 43% over the frequency range of 639-989 MHz.
Accreditation Considerations In Engineering Ethics Education: Bridging Global Standards And Local Practices: Bridging Global Standards And Local Practices, Louise O'Gorman, Alison Gwynne-Evan, Leah Ridgeway, Marek Rebow, Shannon Chance
Accreditation Considerations In Engineering Ethics Education: Bridging Global Standards And Local Practices: Bridging Global Standards And Local Practices, Louise O'Gorman, Alison Gwynne-Evan, Leah Ridgeway, Marek Rebow, Shannon Chance
Research Outputs: 2025-Present
Accreditation can drive curricular innovation and change in engineering and can have a role in encouraging students' development of ethics-related competencies. Despite engineering educators' competence in the technical aspects of design and research, there can be an element of discomfort in planning and delivering lessons relating to ethics that span social justice, diversity and inclusion, environmental sustainability, and ethical theories. Because engineering accreditation can encourage and/or require the inclusion of ethical content in accredited engineering courses, the recently published Routledge Handbook of Engineering Ethics Education dedicated an entire section to the topic. This paper critically assesses the handbook's accreditation section …
A Dual-Band Planar Antenna For Angle-Of-Arrival Estimation In On-Body Iot Devices, Abel Zandamela, Nicola Marchetti, Max J. Ammann, Adam Narbudowicz
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 …
An Empirical Evaluation Of Communication Technologies And Quality Of Delivery Measurement In Networked Microgrids, Yasin Emir Kutlu, Ruairí De Fréin
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 …
Investigating Nutrition And Supportive Care Needs In Esophageal And Gastric Cancer Survivors: A Cross-Sectional Survey, Fatemeh Sadeghi, Juliette Hussey, Suzanne L. Doyle
Investigating Nutrition And Supportive Care Needs In Esophageal And Gastric Cancer Survivors: A Cross-Sectional Survey, Fatemeh Sadeghi, Juliette Hussey, Suzanne L. Doyle
Research Outputs: 2025-Present
Background/Objectives: Advances in cancer diagnosis and treatment improved survivorship rates, but survivors’ long-term quality of life remains a critical concern. Survivors of esophageal and gastric cancer often undergo extensive curative surgery, which can have lasting impacts on nutritional status. This study aimed to assess the nutritional status, dietary challenges, and supportive care needs of this population of cancer survivors. Methods: In this cross-sectional study, adults diagnosed with esophageal or gastric cancer were invited to complete an anonymous survey to assess their nutritional status, quality of life, and psychological well-being. Results: A total of 114 responses were analyzed. Although over 70% …
“One Size Doesn’T Fit All”: Nutrition Care Needs In Esophageal And Gastric Cancer Survivors—A Qualitative Study, Fatemeh Sadeghi, Juliette Hussey, Suzanne L. Doyle
“One Size Doesn’T Fit All”: Nutrition Care Needs In Esophageal And Gastric Cancer Survivors—A Qualitative Study, Fatemeh Sadeghi, Juliette Hussey, Suzanne L. Doyle
Research Outputs: 2025-Present
Background/Objectives: Nutritional complications are highly prevalent in esophageal and gastric cancer survivors and can negatively impact their quality of life. Gaining insight into survivors’ experiences with nutrition care can inform the development of tailored nutrition care programs for this population. The present study investigated esophageal and gastric cancer survivors’ nutritional challenges and complications. It also explored survivors’ and their carers’ perceived unmet nutrition care needs. Methods: Esophageal and gastric cancer survivors and their caregivers were invited to participate in a semi-structured interview. Participants were asked about their nutritional challenges and experiences with existing dietetic services in meeting their nutrition care …
Integration Of The Portionsize Ed App Into Snap-Ed For Improving Diet Quality Among Adolescents In Hawaii: A Randomized Pilot Study, Emerald S. Proctor, Kiari H.L. Aveiro, Ian Pagano, Lynne R. Wilkens, Leihua Park, Leilani Spencer, Jeannie Butel, Corby K. Martin, John W. Apolzan, Rachel Novotny, John Kearney, Chloe P. Lozano
Integration Of The Portionsize Ed App Into Snap-Ed For Improving Diet Quality Among Adolescents In Hawaii: A Randomized Pilot Study, Emerald S. Proctor, Kiari H.L. Aveiro, Ian Pagano, Lynne R. Wilkens, Leihua Park, Leilani Spencer, Jeannie Butel, Corby K. Martin, John W. Apolzan, Rachel Novotny, John Kearney, Chloe P. Lozano
Research Outputs: 2025-Present
Background/Objectives: Coupling mobile health (mHealth) technology with community-based nutrition programs may enhance diet quality in adolescents. This pilot study evaluated the feasibility, acceptability, and preliminary efficacy of integrating PortionSize Ed (PSEd), an image-assisted dietary assessment and education app, into the six-week Hawaii Food and Lifeskills for Youth (HI-FLY) curriculum delivered via Supplemental Nutrition Assistance Program Education (SNAP-Ed). Methods: Adolescents (grades 6–8) from two classrooms were cluster-randomized into HI-FLY or HI-FLY + PSEd. Both groups received HI-FLY and completed Youth Questionnaires (YQ) and food records (written or app-based) at Weeks 0 and 7. Feasibility and acceptability were assessed via enrollment, attrition, …
Developing A Modular Circular Wall Over-Clad System For Facade Thermal Upgrade In Deep Energy Retrofit Developing A Modular–Circular, Advanced Design For Disassembly, Wall Over-Clad System, For Facade Thermal Upgrade In The Deep Energy Retrofit Of Social Housing As An Accelerated Decarbonisation Pathway, Patrick Daly
Research Outputs: 2025-Present
The EU has implemented several policy and legislative initiatives aimed at decarbonisation and circularity transition of the Built Environment including a strategy for large scale renovation of the building/housing stock. Modularised construction solutions are argued to be a potential acceleration pathway toward this objective. Yet there remains issues and challenges in implementing such strategies in a complex and heterogeneous stock and sector. This research investigates this decarbonisation pathway, examining the feasibility and potential of applying a modularised construction over-clad system, based on advanced circularity, in the deep energy retrofit of social housing. The research is based on a grounded case …