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Articles 103591 - 103604 of 103604
Full-Text Articles in Entire DC Network
Sustainable Closed-Loop Supply Chain Network Design Under Uncertainty Using A Fuzzy Multi-Objective Optimization Framework For The Battery Industry, Mahdi Yousefi Nejad Attari, Sahar Rezanejad, Ali Ala, Vladimir Simic, Dragan Pamucar
Sustainable Closed-Loop Supply Chain Network Design Under Uncertainty Using A Fuzzy Multi-Objective Optimization Framework For The Battery Industry, Mahdi Yousefi Nejad Attari, Sahar Rezanejad, Ali Ala, Vladimir Simic, Dragan Pamucar
Research Outputs: 2025-Present
The study presents a sustainable closed-loop supply chain network that integrates financial, environmental, and social objectives within a context of uncertainty. A fuzzy-based modeling approach is introduced to address uncertainty in customer demand, cost parameters, and carbon emission coefficients across the sustainable closed-loop supply chain network. Two metaheuristic methods, the non-dominated sorting genetic algorithm II (NSGA-II) and multi-objective particle swarm optimization (MOPSO), are employed to address the problem and are compared against each other. A practical case study of a battery company is employed to validate the framework. The findings indicate that MOPSO surpasses non-dominated sorting genetic algorithm II in …
Application Of Healthcare Data Mining Techniques To Planning For Nursing Length Of Stay In Surgical Departments, Mahdi Yousefi Nejad Attari, Akbar Abbaspour Ghadim, Ali Ala, Vladimir Simic, Domonkos Tinka, Dragan Pamucar
Application Of Healthcare Data Mining Techniques To Planning For Nursing Length Of Stay In Surgical Departments, Mahdi Yousefi Nejad Attari, Akbar Abbaspour Ghadim, Ali Ala, Vladimir Simic, Domonkos Tinka, Dragan Pamucar
Research Outputs: 2025-Present
Effective allocation of nurse resources in surgical departments is essential for improving patient care and controlling operating costs in a health society. Length of stay (LOS) is the metric that connects clinical workload to staffing decisions, yet ward-level forecasting and its translation into daily nursing schedules remain limited. This study presents a hybrid, data-driven decision-support system that combines machine-learning LOS prediction with Reinforcement Learning (RL) for the surgical ward. A dataset of 137,145 records is used to evaluate Random Forest, Gradient Boosting, Decision Tree, and a Multi-layer Perceptron. Random Forest achieved the most accurate and stable performance (R² = 0.84; …
Gender Differences In Mental Rotation And Visualisation Across Adolescence: Large Scale Evidence From The United States, Ireland, And Austria With Single-Paper Meta-Analyses, Jeffrey Buckley, Sheryl Sorby, Gavin Duffy, Günter Maresch, Jason Power
Gender Differences In Mental Rotation And Visualisation Across Adolescence: Large Scale Evidence From The United States, Ireland, And Austria With Single-Paper Meta-Analyses, Jeffrey Buckley, Sheryl Sorby, Gavin Duffy, Günter Maresch, Jason Power
Research Outputs: 2025-Present
Spatial ability has been identified as an essential cognitive ability for educational performance broadly in science, technology, engineering, and mathematics (STEM) education. Further, children with higher levels of this ability are more likely to choose STEM educational pathways. It is theorised that a benefit of spatial ability lies in affording young people further capacity to think and reason effectively in diverse problem-solving contexts, which translates into desirable educational outcomes. However, substantial evidence has identified a gender gap favouring boys particularly in the mental rotation spatial factor, and there is less evidence for any similar gender gaps for other spatial factors, …
Snif: Explainability-Driven Feature Selection Through State-Of-The-Art Shap–Nca Intersection Framework For Malware Detection, Sadia Nazim, Syed Shujaa Hussain, Bilal Yousuf, Jawahir Che Mustapha
Snif: Explainability-Driven Feature Selection Through State-Of-The-Art Shap–Nca Intersection Framework For Malware Detection, Sadia Nazim, Syed Shujaa Hussain, Bilal Yousuf, Jawahir Che Mustapha
Research Outputs: 2025-Present
Modern malware detection rely on Deep neural networks to achieve high detection performance by leveraging a large feature space. However, these models often suffer from high dimensionality, limited interpretability, and reduced reliability due to redundant features. As a result, they obscure the true contribution of features to the rationale for the prediction. To address these challenges, this study proposes an explainability-aware feature pruning technique to improve the performance and efficiency of deep neural networks. The key focus of this study is the development of the novel SHAP–NCA Intersection Framework (SNIF), which integrates explainability with feature selection for efficient and trustworthy …
Educating The Next Generation Of Engineers: Spatial Thinking Is Key To Their Success, Sheryl Sorby, Gavin Duffy, Jack Parkinson, Gibin Raju, John Lynch, Muhammad Asghar
Educating The Next Generation Of Engineers: Spatial Thinking Is Key To Their Success, Sheryl Sorby, Gavin Duffy, Jack Parkinson, Gibin Raju, John Lynch, Muhammad Asghar
Research Outputs: 2025-Present
This paper attempts to answer questions regarding the link between engineering success and spatial skills through three themes. The previous research of the authors in examining the questions surrounding each theme is the focus of this paper; we acknowledge that others around the world may have conducted similar research, but the specific findings of the authors are the main focus of this paper. In the first theme, we examine data from several author-led studies where positive correlations have been found between spatial skill levels and proficiency in tasks that are a part of what it means to be an engineer. …
Physique Development And Management Shape Experiences Of Low Energy Availability Risk In Elite Professional Male Rugby Union Players, Gary Sweeney, Siobhain Mcardle, Nessan Costello, Kieran Collins
Physique Development And Management Shape Experiences Of Low Energy Availability Risk In Elite Professional Male Rugby Union Players, Gary Sweeney, Siobhain Mcardle, Nessan Costello, Kieran Collins
Research Outputs: 2025-Present
This study aimed to explore elite male rugby union players’ perceptions and lived experiences of physique development and management in relation to low energy availability risk. Semi-structured interviews (29 ± 8 min) were conducted with 18 players (senior: n = 9; academy: n = 9; mean age: 23 ± 3) across four professional rugby union clubs in Ireland. Through reflexive thematic analysis, the following themes were constructed. Players had limited awareness of low energy availability, yet described experiences consistent with symptoms, including fatigue, low mood and reduced libido. A pervasive physique culture, characterised by body composition ‘ideals’ and weight or …
Explainability In Action: A Metric-Driven Assessment Of Local Explanations For Healthcare Tabular Models, M. Atif Qureshi, Abdul Aziz Noor, Awais Manzoor, Muhammad Deedahwar Mazhar Qureshi, Arjumand Younus, Wael Rashwan
Explainability In Action: A Metric-Driven Assessment Of Local Explanations For Healthcare Tabular Models, M. Atif Qureshi, Abdul Aziz Noor, Awais Manzoor, Muhammad Deedahwar Mazhar Qureshi, Arjumand Younus, Wael Rashwan
Research Outputs: 2025-Present
Explainable AI (XAI) is increasingly used in clinical machine learning, yet quantitative evaluation of explanation quality is often reported inconsistently across methods and datasets. We present a reproducible, metric-driven framework for evaluating XAI methods on healthcare tabular data. The framework consolidates six established, family-specific metrics, fidelity, simplicity, consistency, robustness, precision, and coverage, into explicit equations; pairs them with a pre-specified focal-model protocol; and releases open-source code with a method-metric applicability map. We evaluate LIME, SHAP, Anchors, EBM, and TabNet across four public healthcare tabular datasets. Post-hoc explainers are applied to a single selected Random Forest focal predictor to control model-induced …
From Platelets To Particles: Optimizing Extracellular Vesicle Isolation In A National Blood Centre, Y. Chintala, A. Waters, F. Mcgrath, A. Lorusso, C. Wynne, S. Meaney
From Platelets To Particles: Optimizing Extracellular Vesicle Isolation In A National Blood Centre, Y. Chintala, A. Waters, F. Mcgrath, A. Lorusso, C. Wynne, S. Meaney
Research Outputs: 2025-Present
Background and Objectives: Platelet-derived extracellular vesicles (PEVs) are submicron, membrane-bound particles released upon platelet activation, with a recognized role in haemostasis, inflammation and immunoregulation. PEVs remain insufficiently characterized in blood products. This study compared four isolation methods to evaluate their impact on PEV yield, purity and characteristics, aiming to identify a practical approach for transfusion service workflows. Materials and Methods: PEVs were isolated from expired single-donor aphaeresis platelet concentrates (n = 12) using methods based on different isolation principles: ultracentrifugation (UC), size exclusion chromatography (SEC), mixed size/charge separation (hybrid) and an affinity-based spin column method (affinity). Size, number and biochemical …
Diffusion-Enhanced Nat-Bart Vision Language Transformer For Unified Urdu Word Recognition, Wahid Hussain, Shahbaz Hassan, Isma Ul Hassan, Ahmad Raza Shahid, Asif Naeem, Muhammad Usman Yaseen, Nouman Ashraf
Diffusion-Enhanced Nat-Bart Vision Language Transformer For Unified Urdu Word Recognition, Wahid Hussain, Shahbaz Hassan, Isma Ul Hassan, Ahmad Raza Shahid, Asif Naeem, Muhammad Usman Yaseen, Nouman Ashraf
Research Outputs: 2025-Present
Handwritten Urdu text recognition remains a very challenging problem due to the cursive and complex nature of the Nastaliq script. Each writer has a unique style, and there is a severe lack of large, well-labeled datasets. These challenges make Urdu text recognition much harder than for many other languages. Here we propose a novel and effective approach for handwritten Urdu word recognition that addresses both data scarcity and feature complexity. We utilized conditional diffusion models to generate synthetic handwritten Urdu word images. These models produce realistic word samples covering a wide range of variations, such as stroke thickness, curves, and …
Developing Forensic Entomology Practice In Ireland: Case Applications And Operational Considerations, Claudio Tersaruolo, Yiyang Sun, Sally Anne Collis, Jesus Frias, Linda Mulligan, Orla Howe
Developing Forensic Entomology Practice In Ireland: Case Applications And Operational Considerations, Claudio Tersaruolo, Yiyang Sun, Sally Anne Collis, Jesus Frias, Linda Mulligan, Orla Howe
Research Outputs: 2025-Present
Forensic entomology is valuable in legal investigations for estimating the minimum post-mortem interval (minPMI) by insect species and their lifecycles on decomposing remains. While forensic entomology is well established in central-northern Europe and the UK, it has been rarely practiced in Ireland due to a lack of demand and practical expertise. Office of the State Pathologist (OSP) provides the national forensic pathology service; however specialised forensic entomology services are outsourced and instructed on a case-by-case basis. A collaboration was established between the OSP, Technological University Dublin (TU Dublin) and University of Strathclyde over the past two years. This collaboration enabled …
Sustainable Development And Faith, Tony Kealy
Sustainable Development And Faith, Tony Kealy
Research Outputs: 2025-Present
The contribution of faith-based input to the broader idea of sustainable development has not been widely acknowledged in the traditional sense; however, recent global events suggest it may warrant further exploration. This qualitative study examines how faith-based activities, such as missionary work, have historically and can continue to contribute significantly to the environmental, economic, and human/social aspects of organizational decision-making. The focus is on the Catholic faith, specifically the role played by the Irish-based Medical Missionaries of Mary religious congregation in the mid-to-late twentieth century. An initial literature review was conducted to gather information from various sources to define sustainable …
Influence Of Beamwidth, Gain Stability, And Antenna Element Spacing On Aoa Accuracy In Ieee 802.15.4z Uwb Systems, Hossein Raghib Hokmabadi, Wasi Ur Rehman Khan, Patrick Mcevoy, Max James Ammann
Influence Of Beamwidth, Gain Stability, And Antenna Element Spacing On Aoa Accuracy In Ieee 802.15.4z Uwb Systems, Hossein Raghib Hokmabadi, Wasi Ur Rehman Khan, Patrick Mcevoy, Max James Ammann
Research Outputs: 2025-Present
Precision is a crucial requirement in indoor localization, and the industrial sector increasingly demands technologies that provide both high accuracy and low cost. This work presents a hardware-based evaluation of dual-antenna arrays using an IEEE 802.15.4z-compliant UWB angle of arrival (AoA) development kit to assess antenna performance in terms of phase difference of arrival (PDoA)/AoA linearity. Four antenna types: 1) printed monopole; 2) CPW-fed slot; 3) stacked dielectric resonator antenna (DRA); and 4) dual-layer microstrip patch are evaluated on channels 5 and 9, with measurements performed in a calibrated anechoic chamber under controlled conditions. The results show that wide beamwidth …
Understanding The Epigenetic Landscape Of Barrett's Esophagus And Esophageal Cancer: A Review Of Current Findings, Caveats And Future Directions, Louise Lawless, Trevor Doherty, Carla Surlis, Niamh Gilmartin, Therese M. Murphy
Understanding The Epigenetic Landscape Of Barrett's Esophagus And Esophageal Cancer: A Review Of Current Findings, Caveats And Future Directions, Louise Lawless, Trevor Doherty, Carla Surlis, Niamh Gilmartin, Therese M. Murphy
Research Outputs: 2025-Present
Esophageal cancer (OC) is currently the eighth most common form of cancer worldwide with a 5-year survival rate of 10%–20%, with the primary risk factor of esophageal adenocarcinoma (OAC) being the development of Barrett's Esophagus (BO). Despite its clinical significance, the molecular pathogenesis underlying both BO and OC is not well understood. In recent years, epigenetic dysregulation, particularly aberrant DNA methylation, has emerged as a critical area of investigation, given its potential utility in the identification of diagnostic, prognostic, and therapeutic biomarkers. This review examines the evolving epigenetic landscape of esophageal cancer, including a focus on its origins in BO …
Bankruptcy As Presidential Resistance, Alvin Velazquez
Bankruptcy As Presidential Resistance, Alvin Velazquez
Fordham Urban Law Journal Online
No abstract provided.