32 10 900 https://urss.warwick.ac.uk/files/original/77efe1a5adf0e11545a3f40b4f6201ac.ppt 7142981eee2c7ac6009e2cbeab3ee77b 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 synthesis and investigation of a reversible crosslinker that enables polymers to be bonded with UV light and reversed by heat, creating recyclable, repairable materials for sustainable applications Meta Tags Meta tags Chemistry, Photochemistry, polymers, materials, sustainability, science 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 Hester Chan Contributor An entity responsible for making contributions to the resource Zhengsi Cao, Hannes Houck Subject The topic of the resource Chemistry Title A name given to the resource Reversible Chemistry for Repairable Polymer Materials Date A point or period of time associated with an event in the lifecycle of the resource 2025 https://urss.warwick.ac.uk/files/original/e7c8ce8e39596a5b6309bf6fb023592f.pdf 4c68ad2d128c4c4f4ef6ff28770b7e76 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 Mathematics Academic Poster An academic poster Abstract The abstract of the paper Introduced a technique to image denoising using LISTA framework. Meta Tags Meta tags #Applied Mathematics #Machine Learning #Optimization #Image Denoising #Neural Network 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 Hongxin Zhen Contributor An entity responsible for making contributions to the resource Clarice Poon, Paris Giampouras Subject The topic of the resource Mathematics Title A name given to the resource Image Denoising via Neural Network Techniques Date A point or period of time associated with an event in the lifecycle of the resource 2024 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 Hyperlink A link, or reference, to another resource on the Internet. URL https://teaegg.net/research/urss/ Meta Tags Meta tags quantum information, entanglement verification, EPR pairs, identity testing, complexity analysis 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 A local, classical framework for testing quantum entanglement Description An account of the resource Under the supervision of Dr Matthias Caro, I studied the fundamentals of quantum information theory and quantum cryptography. Drawing inspiration from the structure of the BB84 protocol, this project develops a novel framework for certifying quantum entanglement through local, fully classical measurements: an approach that, while conceptually minimal and elegant in retrospect, has not been formally characterised or rigorously analysed in the literature. The work establishes a tolerant identity test for arbitrary maximally entangled states, extends the protocol to multi-pair systems, and investigates its robustness in the presence of noise. Creator An entity primarily responsible for making the resource Howard Cheung Subject The topic of the resource Computer Science Date A point or period of time associated with an event in the lifecycle of the resource 2025 https://urss.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://urss.warwick.ac.uk/files/original/7ef93a1c72f58e7b3889b5707262e360.pdf b337cea660c1c9e874a6b019078b4581 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 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 Investigating the chemotaxis of Chlamydomonas Reinhardtii with Sodium Bicarbonate Subject The topic of the resource Physics Creator An entity primarily responsible for making the resource Hussain Mafaaz Date A point or period of time associated with an event in the lifecycle of the resource 2024 algae Biology chemotaxis Microfluidics https://urss.warwick.ac.uk/files/original/00e4bd2477baa132f3ef9d14de95f331.pdf cda88e29574a7eea799d69e1eede4e15 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 research project aims to comprehensively implement and evaluate several machine learning models for the critical task of brain tumour classification using Magnetic Resonance Imaging (MRI) data. A classical Support Vector Machine (SVM) will serve as a baseline, against which the performance of advanced deep learning architectures, including Convolutional Neural Networks (CNNs) and a Bayesian Convolutional Neural Network (BCNN), will be assessed. The study will rigorously compare these models across key performance indicators: classification accuracy, the robustness of uncertainty quantification, and computational efficiency. Ultimately, this work seeks to provide valuable insights into the efficacy and utility of diverse machine learning paradigms in medical image analysis, with a particular focus on the crucial role of uncertainty estimation in supporting more reliable and informed decisions for early brain tumour diagnosis. Meta Tags Meta tags Mathematics, Machine Learning, Statistics, Computer Vision, Deep Learning, Bayesian, Medical Imaging 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 2005 Title A name given to the resource Machine Learning for Brain Tumour Detection: Comparing Probabilistic, Classical, and Deep Learning Models Subject The topic of the resource Statistics Creator An entity primarily responsible for making the resource Ignacio Vigil Cardenal https://urss.warwick.ac.uk/files/original/743d46deb5094258d9e5d2ba08bdaa31.png 256c7461fe269433b1c2230088b71065 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 paper investigates the impact of increasing Houthi pirate attacks on maritime volatility since October 7, 2023, focusing on the dynamics and causal relationship between attacks and market volatility. Using a minute-level dataset, I separately analyse realised and implied volatility through Ordinary Least Squares (OLS) regression and instrumental variable (IV) techniques. I introduce Boolean and inverse logarithmic attack indicators, with the number of Palestinian deaths as an instrumental variable to establish causality. Results reveal a significant increase in volatility following high-magnitude attacks, particularly involving oil tankers, with volatility spikes typically peaking within the first day post-attack. Volatility decay is non-monotonic, indicating that market responses vary in intensity over time. The robustness of our IV model, evidenced by significant coefficients and exclusion restrictions, further supports causal findings. I discuss the policy implications, highlighting the stabilizing effects of a ceasefire on financial markets. I also acknowledge limitations in our dynamic modeling, suggesting the potential for improved accuracy with a GARCH model and additional instruments in future research. Meta Tags Meta tags #economics #commodities #commodity #finance #crude #oil #IV #causal #dynamics #pirate #piracy #maritime #palestine #palestinian #OLS #instrument #instrumental 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 Ilias Douiri Contributor An entity responsible for making contributions to the resource Dr. Natalie Chen Subject The topic of the resource Economics Title A name given to the resource Impact of Maritime Piracy on Crude Oil Price Volatility Date A point or period of time associated with an event in the lifecycle of the resource 2024 https://urss.warwick.ac.uk/files/original/0f8ec2e40a44112289f2d64880d91eb6.pdf 9422e4d76f50f967511e965fee8678d1 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 Meta Tags Meta tags Epidemiology, Lassa fever, Life Sciences, Public Health, Mathematical Modelling 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 Iman Ghefoor Contributor An entity responsible for making contributions to the resource Mike Tildesley Subject The topic of the resource Life Sciences Title A name given to the resource Forecasting the Spread of Lassa Fever in Nigeria: a Mathematical Modelling Study Date A point or period of time associated with an event in the lifecycle of the resource 2024 https://urss.warwick.ac.uk/files/original/8e0abf17e075f2bb1fa6dba9ccac5214.pdf b00ebc3ed031f56fbe250d458e8ac233 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 UK produces over 300,000 tones of vegetable Brassica each year, worth £329 million (British Growers Association, 2023) Xanthomonas campestris pv. campestris (Xcc), is the causative agent of black rot disease in vegetable Brassica (Fig 1) (Ahdb.org.uk, 2023). The disease can significantly reduce vegetable Brassica production, causing up to 50% damage. Current treatments to control black rot are limited-antibiotics and chemicals risk promoting resistance and harm the environment (Mortensen , 2022). Phages, viruses that specifically target bacteria, offer a potential alternative. Our research tested phages against various Xcc strains, examining their impact at reducing the Xcc population. Meta Tags Meta tags Phage, xanthomonas, phage therapy, black rot, brassica 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 Imogen Nix, Sneha Chakravorty Contributor An entity responsible for making contributions to the resource Mojgan Rabiey Subject The topic of the resource Life Sciences Title A name given to the resource Isolation and Characterisation of Phages to Control Black Rot Disease in Brassicas Date A point or period of time associated with an event in the lifecycle of the resource 2024 https://urss.warwick.ac.uk/files/original/882b69150181389b428c17f8ef7f7151.pdf 712727602324335bdfc4aaf0a0153379 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 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 The Effects of Living in Multigenerational Homes on Happiness Among Families in India Subject The topic of the resource Psychology Creator An entity primarily responsible for making the resource Inchara A U Athreya Date A point or period of time associated with an event in the lifecycle of the resource 2023 families generations Inchara Athreya India multigenerational Psychology