30 10 760 https://linen-dog.lnx.warwick.ac.uk/files/original/da20cc0f2246166684655bd00c89d58a.pdf 868de787436a1c970e6520cc9ff3d94e Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Science, Engineering and Medicine Academic Paper An academic paper Abstract The abstract of the paper This work aims to use comparative analysis within a specific academic framework to examine the differences in output between nations of comparative political, economic, and social standing to the UK. Additionally to frame things in an interesting way that is conceptually rich I continually use and reference the myth of Heracles by Apollodorus which has many parallels to this policy debate. Conducting analysis in this manner enables significant differences to be identified and discussed at length. Not only discussing the discrepancy but the reasons for them. By identifying the root causes for many of these issues I am able to suggest remedies and a series of changes to enact within Britain that seeks to tackle such challenges posed. In doing so I challenge traditional notions of underfunding and seek to reason that it is due to centralised control, ineffective doctrines, and poor policy that many of the issues within the NHS exist. I routinely reference the work of intellectuals such as Julian Le Grand, Friedrich Hayek, and Von Neumann to come to these conclusions and to intellectually frame these points. Ultimately I seek to extend the boundaries of debate and offer a coherent explanation for failure and strong rationale for reform. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Date A point or period of time associated with an event in the lifecycle of the resource 2025 Contributor An entity responsible for making contributions to the resource Hugh E Vernon Title A name given to the resource Hauling the Cattle Back to Mycenae Freedom Creator An entity primarily responsible for making the resource Hugh E Vernon Description An account of the resource NHS Performance and Reform: Competition, and Health Policy in Britain - A Comparative Analysis of Healthcare Systems in the Developed https://linen-dog.lnx.warwick.ac.uk/files/original/e39dd700fd0c40f785a9759f7c3bb3ff.png 9f4f9a53e957a810a0980936a3e11578 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Social Sciences Subject The topic of the resource Social Sciences Image A static visual representation. Examples include paintings, drawings, graphic designs, plans and maps. Recommended best practice is to assign the type Text to images of textual materials. Meta Tags Meta tags LGBTQUIA+, Passing, Social Acceptance , Discrimination, Gender , Identity , Sexual Orientation Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Hidden In Plain Sight: An intersectional analysis of the use of passing amongst LGBTQUIA+ populations to mitigate discrimination within peer group settings Creator An entity primarily responsible for making the resource Adam Allen Subject The topic of the resource Sociology Date A point or period of time associated with an event in the lifecycle of the resource 2025 https://linen-dog.lnx.warwick.ac.uk/files/original/1d9bc6ed7a42b2098c402b5e2e1236b9.pdf b2da2219a5e0e09860cef3d310327603 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Social Sciences Subject The topic of the resource Social Sciences Academic Paper An academic paper Abstract The abstract of the paper This paper evaluates the forecasting performance of various econometric and machine learning approaches for predicting UK headline Consumer Price Index (CPI) inflation. Following the methodology of Stock and Watson (2007), I conduct pseudo-out-of-sample forecasts over multiple horizons (1, 2, and 4 quarters) using a comprehensive set of macroeconomic activity variables. My econometric models include Vector Autoregression (VAR), Vector Error Correction Models (VECM), and traditional benchmarks such as rolling IMA(1,1) and autoregressive models. Machine learning methods encompass Random Forest, XGBoost, Support Vector Regression, and Kernel Ridge Regression algorithms, implemented following the nonlinear framework of Coulombe et al. (2020). To address model uncertainty, I im- plement a hierarchical model combination framework using predictive performance- based weighting schemes that adapt through rolling re-estimation. Results indicate that while traditional econometric benchmarks remain competitive, particularly the rolling IMA(1,1) model, Random Forest demonstrates consistent and statistically significant improvements across all forecast horizons. The VECM approach shows horizon-dependent performance, improving from substantial underperformance at short horizons to near-parity at longer horizons. My findings contribute to under- standing inflation dynamics in the UK context and demonstrate the importance of algorithm selection in machine learning applications to macroeconomic forecasting. Meta Tags Meta tags Machine Learning, Data Science, Economics, Econometrics, Artificial Intelligence Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Subject The topic of the resource Economics Date A point or period of time associated with an event in the lifecycle of the resource 2025 Contributor An entity responsible for making contributions to the resource Under the supervision of Professor Mark Steel. Title A name given to the resource Hierarchical Model Combination for UK Inflation Forecasting: Integrating Econometric and Machine Learning Models Description An account of the resource Machine Learning in Forecasting Inflation Creator An entity primarily responsible for making the resource Nitay Carmi https://linen-dog.lnx.warwick.ac.uk/files/original/2258f2f07efabda17032ed93d7be7804.pdf 7fa99a7ea3491b186784dceb533ac57a Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Arts Academic Poster An academic poster Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Holy Matrimony: The Existence and Public Perception of Unconventional Marriages in India Subject The topic of the resource History Description An account of the resource In India, marriage is more of a social as well as political phenomenon rather than a legal one. In a truly traditional manner, a marriage is “the coming together” of two families, which is why societal perceptions are of great importance. The onus of upholding family honour is placed upon the couple getting married. What happens when they violate societal norms by marrying "unconventionally? How do families, and people react to "unconventional" marriages? Creator An entity primarily responsible for making the resource Devina Singh Date A point or period of time associated with an event in the lifecycle of the resource 2022 Gender History India Politics https://linen-dog.lnx.warwick.ac.uk/files/original/4ae55a49b2b4242339dce76d945e7737.pdf 6fbda42dd694093aabc916de4c33680c Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Science, Engineering and Medicine Academic Poster An academic poster Abstract The abstract of the paper The Department for Energy Security and Net Zero (DESNZ) has launched the "Electrification of Heat" project to decarbonise domestic heating through air source heat pumps (ASHPs). This study uses DESNZ and Energy Systems Catapult datasets and Python scientific computing methodologies to develop machine-learning models that predict ASHP energy consumption, efficiency, and cost savings. The goal is to support informed decisions by policymakers, consumers, and energy providers, ultimately reducing electricity costs and carbon emissions in UK households. Meta Tags Meta tags predictive-modelling, scientific-computing, machine-learning, ai, engineering, physics, computer-science, sustainability, energy, efficiency, heating, household, cost-of-living Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Ujair Abdullah Contributor An entity responsible for making contributions to the resource Dr Peter Brommer Subject The topic of the resource Engineering Title A name given to the resource Home Energy Optimisation: Enhancing Heat Pump Efficiency Through Data-Driven Insights Date A point or period of time associated with an event in the lifecycle of the resource 2024 https://linen-dog.lnx.warwick.ac.uk/files/original/11cca7a34cc8d9f1aa14a9d4b405f503.pdf 600e007f11d8a48e4d2aeb049d4278bd Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Science, Engineering and Medicine Academic Poster An academic poster Abstract The abstract of the paper The Department for Energy Security and Net Zero (DESNZ) has launched the "Electrification of Heat" project to decarbonise domestic heating through air source heat pumps (ASHPs). This study uses DESNZ and Energy Systems Catapult datasets and Python scientific computing methodologies to develop machine-learning models that predict ASHP energy consumption, efficiency, and cost savings. The goal is to support informed decisions by policymakers, consumers, and energy providers, ultimately reducing electricity costs and carbon emissions in UK households. Meta Tags Meta tags predictive-modelling, scientific-computing, machine-learning, ai, engineering, physics, computer-science, sustainability, energy, efficiency, heating, household, cost-of-living Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Ujair Abdullah Contributor An entity responsible for making contributions to the resource Dr Peter Brommer Subject The topic of the resource Engineering Title A name given to the resource Home Energy Optimisation: Enhancing Heat Pump Efficiency through Data-Driven Insights Date A point or period of time associated with an event in the lifecycle of the resource 2024 https://linen-dog.lnx.warwick.ac.uk/files/original/e8eef469b783c17cea869c5e3b723eaa.pdf 60097126a978033739aee489b3b9b408 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Social Sciences Subject The topic of the resource Social Sciences Academic Poster An academic poster Abstract The abstract of the paper This study investigates housing inequality in Barcelona through a comparative case study of two sharply contrasting neighbourhoods: Sarrià-Sant Gervasi, one of the city’s wealthiest districts, and Nou Barris, among its most deprived. The research combines structured surveys on housing and environmental quality with in-depth resident interviews. Findings reveal significant disparities in housing conditions, affordability, and infrastructure, with Nou Barris residents experiencing substandard living environments and heightened insecurity. In contrast, Sarrià residents benefit from well-maintained, spacious homes and long-term stability. The study highlights how housing inequality in Barcelona is not just material but felt by residents, shaping wellbeing, opportunity, and the right to remain in the city. Policy recommendations include targeted investment in public housing, rent regulation, and equitable urban planning that centres the needs of vulnerable communities. Meta Tags Meta tags Inequality, Spain, Barcelona, Housing, Poverty Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Finley Doherty Subject The topic of the resource Philosophy Title A name given to the resource Housing Inequality in Barcelona Date A point or period of time associated with an event in the lifecycle of the resource 2025 https://linen-dog.lnx.warwick.ac.uk/files/original/de1ecbc5bbe4a92d0c63ff4da74c817f.mp4 ffd9c9b9292ace773dc8e23c690ca474 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Science, Engineering and Medicine Moving Image A series of visual representations imparting an impression of motion when shown in succession. Examples include animations, movies, television programs, videos, zoetropes, or visual output from a simulation. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource How are Teeth Shaped in Development and Evolution? Subject The topic of the resource Life Sciences Creator An entity primarily responsible for making the resource Rongxin Zhang Date A point or period of time associated with an event in the lifecycle of the resource 2022 cells development Evolution nasal teeth Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Social Sciences Subject The topic of the resource Social Sciences Hyperlink A link, or reference, to another resource on the Internet. URL https://soundcloud.com/cecilia-ilori/how-can-we-optimise-universal-credit-distribution?si=d3090804271446d3885922a2038871d5&utm_source=clipboard&utm_medium=text&utm_campaign=social_sharing Meta Tags Meta tags UK politics, politics, Universal Credit, AI, technology, public policy, media Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource How Can AI Be Used to Optimise Universal Credit Distribution? Description An account of the resource A podcast detailing my project Creator An entity primarily responsible for making the resource Cecilia Ilori Subject The topic of the resource Philosophy AI Media Politics public policy technology UK politics Universal Credit https://linen-dog.lnx.warwick.ac.uk/files/original/115db72b3f1321c96b791c3eaea8df25.pdf 78ccf806d4f8388c3d10566749cf826d Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Science, Engineering and Medicine Academic Poster An academic poster Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource How can we tell when a plant is healthy? Subject The topic of the resource Life Sciences Creator An entity primarily responsible for making the resource Luca Ciao Date A point or period of time associated with an event in the lifecycle of the resource 2022 Brix Climate change pests plant