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Articles 274651 - 274680 of 5211439

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Umbrella Review Of Meta-Analyses On The Risk Factors, Protective Factors, Consequences And Interventions Of Cyberbullying Victimization, K. T. A. Sandeeshwara Kasturiratna, Andree Hartanto, Crystal H. Y. Chen, Eddie M. W. Tong, Nadyanna M. Majeed Jan 2025

Umbrella Review Of Meta-Analyses On The Risk Factors, Protective Factors, Consequences And Interventions Of Cyberbullying Victimization, K. T. A. Sandeeshwara Kasturiratna, Andree Hartanto, Crystal H. Y. Chen, Eddie M. W. Tong, Nadyanna M. Majeed

Research Collection School of Social Sciences

The increasing prevalence of cyberbullying victimization has become a commonplace issue globally. Although research has explored various predictors and consequences of cyberbullying victimization, most focus on a narrow range of variables or contexts, highlighting the need to comprehensively review and synthesize the wealth of empirical findings. We conducted a systematic review of meta-analyses on cyberbullying victimization, incorporating 56 meta-analyses and 296 effect sizes (sample size range 421–1,136,080, sample size median 53,183; searched via EBSCOhost ERIC, EBSCOhost PsycInfo, PubMed, Scopus, Web of Science, 13 cyberbullying-related journals, Google Scholar and ProQuest Dissertations and Theses) to address the following critical questions: (1) What …

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Understanding Sociability Through Mandevillean Pride: Comments On Robin Douglass's Mandeville's Fable, Antong Liu Jan 2025

Understanding Sociability Through Mandevillean Pride: Comments On Robin Douglass's Mandeville's Fable, Antong Liu

Research Collection School of Social Sciences

There is ‘a tendency to evaluate philosophical theories of human nature as more accurate or adequate when they are more attractive or flattering, not when they are more truthful,’ claim two contemporary moral psychologists (Flanagan and Hu 2011: 312). While this tendency may not be as widely shared as these scholars expect, the flip side of their claim indeed captures a factual truth: philosophers seldom avoid attacks on their theories and even their personalities when they insiston exposing the dark side of human nature. Indeed, not all philosophers attacked for this reasonlose their popularity, as numerous readers of Machiavelli and …

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Through The Looking Glass: We All See Ideational Objects Here, J.G. Allen Jan 2025

Through The Looking Glass: We All See Ideational Objects Here, J.G. Allen

Research Collection Yong Pung How School Of Law

In this chapter, I explore the property law treatment of cryptoassets—and, presumably, other digital artefacts that are not clearly rights to anything or against anyone. I argue that such artefacts are well described as “ideational objects” and draw together insights from private law theory and social ontology to explore how we should think about complex objects with a social and a technical dimension. I then examine how the law of property can accommodate ideational objects as objects of property rights (including the right of ownership) and dealing such as transfer, and what challenges and implications this poses for the traditional …

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No Consistent Evidence For Between- And Within-Person Associations Between Objective Social Media Screen Time And Body Image Dissatisfaction: Insights From A Daily Diary Study, Adalia Y. H. Goh, Andree Hartanto, K. T. A. Sandeeshwara Kasturiratna, Nadyanna M. Majeed Jan 2025

No Consistent Evidence For Between- And Within-Person Associations Between Objective Social Media Screen Time And Body Image Dissatisfaction: Insights From A Daily Diary Study, Adalia Y. H. Goh, Andree Hartanto, K. T. A. Sandeeshwara Kasturiratna, Nadyanna M. Majeed

Research Collection School of Social Sciences

With the abundance of social media content that promotes unrealistic beauty standards, there are growing concerns about the potential negative impact of social media use on body image satisfaction. While some studies highlight negative associations, others present null effects, pointing to methodological limitations like biased and unreliable self-reported screen time measures and a focus on singular platforms. Addressing these gaps, our study employed a daily diary method to objectively measure social media screen time across six major platforms (Twitter, Reddit, TikTok, YouTube, Instagram, and Facebook), alongside daily body image dissatisfaction among 252 young adults (Mage = 21.67 years, 67.77% female) …

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2025 Program, Georgia Southern University Jan 2025

2025 Program, Georgia Southern University

Georgia Educational Research Association Conference

2025 Schedule

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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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From Feedback To Framework: Exploring A Student-Centric Development Process For Low-End Immersive Ar/Vr Learning Content In Hospitality Education, Alexander Lennart Schmidt, Praneschen Govender, Jeroen Oskam, Ralf Burbach, Davin Dunlea, Jennifer Hussey, Colin O’Connor, Daniel King, Pasi Tuominen, Jouko Loijas, Teemu Moilanen, Elisa Laatikainen, David Cortés, Belén Bermejo, Carlos Juiz Jan 2025

From Feedback To Framework: Exploring A Student-Centric Development Process For Low-End Immersive Ar/Vr Learning Content In Hospitality Education, Alexander Lennart Schmidt, Praneschen Govender, Jeroen Oskam, Ralf Burbach, Davin Dunlea, Jennifer Hussey, Colin O’Connor, Daniel King, Pasi Tuominen, Jouko Loijas, Teemu Moilanen, Elisa Laatikainen, David Cortés, Belén Bermejo, Carlos Juiz

Research Outputs: 2025-Present

There is a vibrant debate concerning the integration of immersive learning content into hospitality education to (a.) embed the learning process in real-life professional contexts and, (b.) uphold student engagement. Contributing to this debate, this article explores the development process of low-end immersive AR/VR content for hospitality education, leveraging design-based research (DBR) centered around student feedback. This study is based on qualitative focus group data triangulated with survey data collected across four universities located in Europe, each of which offers hospitality programs. Our findings suggest a three-stage development process framework. This process comprises three decision-making dilemmas which need to be …

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Understanding Urban Cultural Festivals As Social Infrastructure, Bernadette Quinn Jan 2025

Understanding Urban Cultural Festivals As Social Infrastructure, Bernadette Quinn

Research Outputs: 2025-Present

This paper is concerned with the role that urban cultural festivals play in enhancing the quality and vitality of social life. It acknowledges that their reputation has become tarnished in recent years and that festivals now frequently feature in debates because they are charged with inciting tensions, exclusions and contestations. However, of note here is that cities tend to narrowly conceive of festivals as temporarily bounded moments of commodifiable spectacle. The fact that festivals function, on an ongoing manner, as embedded, sustained practices capable of supporting urban social living in numerous ordinary ways is rarely acknowledged, much less prioritised. This …

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Unprecedented Visible Light-Initiated Topochemical [2 + 2] Cycloaddition In A Functionalized Bimane Dye, Metodej Dvoracek, Brendan Twamley, Mathias O. Senge, Mikhail A. Filatov Jan 2025

Unprecedented Visible Light-Initiated Topochemical [2 + 2] Cycloaddition In A Functionalized Bimane Dye, Metodej Dvoracek, Brendan Twamley, Mathias O. Senge, Mikhail A. Filatov

Research Outputs: 2025-Present

Bimanes, a class of molecules based on the 1H,7H-pyrazolo[1,2-a]pyrazole-1,7-dione scaffold, were first introduced by E. M. Kosower in 1978. In this study, we report the topochemical cycloaddition of diethyl 2,6-dichloro-1,7-dioxo-1H,7H-pyrazolo[1,2-a]pyrazole-3,5-dicarboxylate (Cl2B), initiated by visible light. Crystal structure analysis confirmed that the reactive double bonds are parallel and coplanar, in line with the Schmidt criteria for topochemical cycloaddition. Additionally, two other bimane derivatives with different substitution patterns were synthesized and investigated. Our findings suggest that functionalizing bimanes to redshift their absorption maxima into the visible-light spectrum provides a promising strategy for synthesizing substituted cyclobutanes without the need for ultraviolet …

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Advancing Equality, Diversity, And Inclusion In Ireland’S Technological University Sector, Marian Duggan, Yvonne Galligan, Allison Kenneally, Margaret Linehan, Jacqueline Mccormack, Noirin Macnamara Jan 2025

Advancing Equality, Diversity, And Inclusion In Ireland’S Technological University Sector, Marian Duggan, Yvonne Galligan, Allison Kenneally, Margaret Linehan, Jacqueline Mccormack, Noirin Macnamara

Research Outputs: 2025-Present

Technological universities (TUs) mark a notable change in the Irish higher education landscape and were recently founded by mergers of former Institutes of Technology (IoT). The emergence of these five new Irish universities coincided with the increasing emphasis from policymakers on equality, diversity, and inclusion (EDI) in the Irish higher education sector. This chapter explores how EDI has been integrated into these new universities. It examines distinctive aspects of the TU sector, focusing on features which are particularly relevant to the work of EDI and provides short case studies from the five TUs discussing key challenges and opportunities faced when …

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Development Of Machine Learning Algorithms To Predict Viral Load Suppression Among Hiv Patients In Conakry (Guinea), Degninou Yehadji, Geraldine Gray, Carlos Arias Vicente, Petros Isaakidis, Abdourahimi Diallo, Saa Andre Kamano, Thierno Saidou Diallo Jan 2025

Development Of Machine Learning Algorithms To Predict Viral Load Suppression Among Hiv Patients In Conakry (Guinea), Degninou Yehadji, Geraldine Gray, Carlos Arias Vicente, Petros Isaakidis, Abdourahimi Diallo, Saa Andre Kamano, Thierno Saidou Diallo

Research Outputs: 2025-Present

Background: Viral load (VL) suppression is key to ending the global HIV epidemic, and predicting it is critical for healthcare providers and people living with HIV (PLHIV). Traditional research has focused on statistical analysis, but machine learning (ML) is gradually influencing HIV clinical care. While ML has been used in various settings, there’s a lack of research supporting antiretroviral therapy (ART) programs, especially in resource-limited settings like Guinea. This study aims to identify the most predictive variables of VL suppression and develop ML models for PLHIV in Conakry (Guinea). Methods: Anonymized data from HIV patients in eight Conakry health facilities …

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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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Filtered Dataset Of Irish Energy Performance Certificates: A Data-Driven Approach For Enhanced Building Stock Modelling, Kumar Raushan, Tomás Mac Uidhir, Marisa Llorens Salvador, Brian Norton, Ciara Ahern Jan 2025

Filtered Dataset Of Irish Energy Performance Certificates: A Data-Driven Approach For Enhanced Building Stock Modelling, Kumar Raushan, Tomás Mac Uidhir, Marisa Llorens Salvador, Brian Norton, Ciara Ahern

Research Outputs: 2025-Present

The data presented in this article supports the research publication “A data-driven standardised generalisable methodology to validate a large energy performance Certification dataset: A case of the application in Ireland” by Raushan et al. [1]. It provides the filtered Energy Performance Certificate (EPC) database for residential buildings in Ireland after applying rigorous data validation methods to remove erroneous entries, and outliers. EPCs contain valuable information about building energy efficiency and characteristics. The raw EPC database for Ireland is publicly accessible but contains over 1 million unfiltered entries with inconsistent and erroneous values that can skew analysis. This processed dataset enhances …

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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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Imi—Instrumentation For Myopia Management, Deborah Jones, Amy Chow, Daddi Fadel, Jose Manuel Gonzalez Meijome, Andrzej Grzybowski, Pete Kollbaum, James Loughman, James Wolffsohn Jan 2025

Imi—Instrumentation For Myopia Management, Deborah Jones, Amy Chow, Daddi Fadel, Jose Manuel Gonzalez Meijome, Andrzej Grzybowski, Pete Kollbaum, James Loughman, James Wolffsohn

Research Outputs: 2025-Present

The rising prevalence of myopia has underscored the importance of early diagnosis and effective management strategies to control its progression and to prevent complications. Advancements in instrumentation enable clinicians to provide individualized evidence-based care for patients. Instrumentation for myopia control encompasses a wide range of technologies designed to assess refractive error, biometric parameters, including axial length, accommodative responses, as well as detailed assessment of ocular health. These tools offer clinicians the ability to move beyond traditional clinical techniques, providing more accurate, detailed, and repeatable measurements critical for the detection and monitoring of myopia progression. This allows for a personalized approach …

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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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Gendered Pathways To Personal And Professional Development Through Entrepreneurship Education For Persons With Disabilities, Ahsan Habib, Thomas Cooney Jan 2025

Gendered Pathways To Personal And Professional Development Through Entrepreneurship Education For Persons With Disabilities, Ahsan Habib, Thomas Cooney

Research Outputs: 2025-Present

Purpose – This study explores how entrepreneurship education (EE) can be structured to support the personal and professional development of people with disabilities (PWDs), with a focus on gender-specific pathways. It examines how men and women with disabilities adopt different approaches to entrepreneurship and how EE can be designed to foster their emancipation. The study also considers how principles such as responsibility, systemic thinking and democratic participation can be embedded within EE to create more inclusive and effective learning environments, addressing both gender nuances and systemic barriers faced by PWDs in entrepreneurial settings. Design/methodology/approach – This study adopted a qualitative …

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Computational Argumentation And Automatic Rule-Generation For Explainable Data-Driven Modeling, Luca Longo, Serena Berretta, Damiano Verda, Lucas Rizzo Jan 2025

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 …

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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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Ex Vivo Spectroscopic Characterisation Of The Biological Activity Of Pancreatic Cyst Fluid, Outmane Bouzerda, Laura E. Kane, Gregory S. Mellotte, Barbara M. Ryan, Stephen G. Maher, Olivier Piot, Aidan D. Meade Jan 2025

Ex Vivo Spectroscopic Characterisation Of The Biological Activity Of Pancreatic Cyst Fluid, Outmane Bouzerda, Laura E. Kane, Gregory S. Mellotte, Barbara M. Ryan, Stephen G. Maher, Olivier Piot, Aidan D. Meade

Research Outputs: 2025-Present

No abstract provided.

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Influence Of Gadolinium And Annealing Time In Dysprosium Doped Oxyfluoride Glasses For W-Led And Scintillating Photonic Device Applications, R. Rajaramakrishna, J. Kaewkhao, N.V. Nikonorov, E. Aleksandrova, S. Kothan, W. Busayaporn, Rahul Suresh, M.A. Gerasimova, E.A. Slyusareva Jan 2025

Influence Of Gadolinium And Annealing Time In Dysprosium Doped Oxyfluoride Glasses For W-Led And Scintillating Photonic Device Applications, R. Rajaramakrishna, J. Kaewkhao, N.V. Nikonorov, E. Aleksandrova, S. Kothan, W. Busayaporn, Rahul Suresh, M.A. Gerasimova, E.A. Slyusareva

Research Outputs: 2025-Present

No abstract provided.

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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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Apoptotic Cell Death Induced By Copper (Ii), Manganese (Ii) And Silver (I) Complexes Containing Bridging Dicarboxylate And 1,10-Phenanthroline Ligands: One Of The Multi-Modes Of Anticancer Activity?, Ella O’Sullivan, Denis O’Shea, Michael Devereux, Orla Howe Jan 2025

Apoptotic Cell Death Induced By Copper (Ii), Manganese (Ii) And Silver (I) Complexes Containing Bridging Dicarboxylate And 1,10-Phenanthroline Ligands: One Of The Multi-Modes Of Anticancer Activity?, Ella O’Sullivan, Denis O’Shea, Michael Devereux, Orla Howe

Research Outputs: 2025-Present

Cu(II), Mn(II) and Ag(I) complexes incorporating bridging dicarboxylate and 1,10-phenanthroline ligands have exhibited anti-cancer potential with significant in vitro and in vivo cytotoxic efficacies. Our study focuses on regulated cell death process of apoptosis as a mode of action of the anti-cancer activity by the complexes. Cytotoxicity screening of the complexes demonstrated all the metal-dicarboxylate-phenanthroline complexes exhibit superior activity compared to their non-phenanthroline containing precursors, in addition to cisplatin. The Cu(II) and Mn(II) complexes were shown to induce reactive oxygen species (ROS) but this was not observed for the Ag(I) analogues. Furthermore, apoptosis was found to be induced by all …

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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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