27 10 764 https://urss.warwick.ac.uk/files/original/f8b6eb554cb96a3553979b4728fe171b.pdf b527a0783da5b58cf70e5ea4cfe3b4ec 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 Terabotics is the unification of terahertz light and surgical robots to advance the detection of conditions in vivo. Terahertz medical imaging is useful for characterising skin conditions due to its ability to measure skin hydration as skin lesions, such as tumours, are known to affect the hydration of the skin. In the project, I tested different types of imaging and determined methods in order to calculate their resolution. Meta Tags Meta tags Medical Physics, Terabotics, Terahertz Light, Imaging Techniques, Resolution 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 Davina Nwachukwu Subject The topic of the resource Physics Title A name given to the resource Determining methods to define the resolution of terahertz images 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/3d1bccae82ca6d8d43579ad70eeb9e76.pdf 2108c63738fea5a4b4afd6353c9d378e 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 explores the potential of Maglev technology as a sustainable transportation solution, with a focus on its alignment with SDG 11 (Sustainable Cities and Communities) and SDG 13 (Climate Action). Using the Shanghai Maglev as a case study, the paper highlights the system’s energy efficiency, reduced carbon emissions, and low noise pollution, which contribute to environmental sustainability. The electromagnetic suspension (EMS) and electrodynamic suspension (EDS) systems eliminate friction, resulting in significant energy savings compared to conventional rail systems. While the technology presents considerable benefits, including low operational and maintenance costs, its widespread adoption faces challenges due to high infrastructure costs and the complexity of integrating it with existing transit networks. Despite these hurdles, Maglev has the potential to be powered by renewable energy, further reducing its environmental impact. This paper argues that Maglev technology, with its longterm sustainability benefits, represents a viable alternative for future urban and intercity transportation, particularly in areas where traditional transit systems are insufficient to meet growing sustainability targets. Meta Tags Meta tags Maglev, Magnetic Levitation, Sustainable Transportation, Environmental Sustainability, SDG 11, SDG 13, Climate Action, Energy Efficiency, Renewable Energy, Green Technology, High-Speed Rail, Electromagnetic Suspension (EMS), Electrodynamic Suspension (EDS), Low Carbon Emissions, Noise Pollution Reduction, Urban Transportation, Sustainable Cities, Future Mobility Solutions, Maglev Trains, Public Transit Innovation. 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 Engineering Date A point or period of time associated with an event in the lifecycle of the resource 2024 Title A name given to the resource Magnetizing Transportation: Exploring the Viability of Maglev for Sustainable Travel Creator An entity primarily responsible for making the resource Gagandeep Singh Kapoor https://urss.warwick.ac.uk/files/original/7880bfb19c91b875807acb9a2e89d0a0.pdf e1a749c4d1f870019363a9c16eb8c101 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 Extreme Type Ia supernovae present challenges for our understanding of thermonuclear explosion physics. A census of Type Ia supernova theoretical models for various parameter spaces was conducted. This enabled a comparative analysis of the diversity and overlap between distinct explosion scenarios and observed data. With the assistance of my supervisor, Dr Mark Magee, I was able to conclude the physical properties driving this overlap. Meta Tags Meta tags Physics, Astrophysics, Supernovae, Thermonuclear, White Dwarf, 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 Thomas Bebbington Contributor An entity responsible for making contributions to the resource Dr Mark Magee Subject The topic of the resource Physics Title A name given to the resource A Census of Thermonuclear Explosion Scenarios 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/d1f12e3817ed16ab943d9b8f494a703c.pdf bbba338bc9bec1df542e78f9e9804c6d 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 This study explores the validity of using the diffusion assumption to model stock prices across various timescales. The diffusion model, based on Geometric Brownian Motion, is commonly applied in financial markets but may not adequately capture price dynamics at finer timescales. By simulating paths and examining rough path signatures, we aim to determine the optimal timescale at which the diffusion approximation effectively models stock price movements. Meta Tags Meta tags diffusion models, geometric Brownian motion, stochastic processes, financial modelling, stock price analysis, multiscale modelling, rough path signatures, Ornstein-Uhlenbeck, Brownian motion, timescales, volatility 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 Aabid Anas, Anastasia Papavasiliou, Pablo Ramses Alonso Martín Subject The topic of the resource Statistics Title A name given to the resource Financial Modelling, Diffusion Processes, Stock Price Behaviour, Stochastic Methods, Rough Path Theory 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/3266ddf5a13dd7788ce2375e9a26faa9.pdf 28639e7d98005a871f13a077dc76c741 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 Unprecedented demands are being placed on compute resources due to HPC jobs such as next-gen machine learning. Distributed systems rely on resource provisioning algorithms to parallelise these jobs across many nodes; however, traditional algorithms are unlikely to perform- an inefficient and costly waste of power and time. This research aims to design the optimal algorithm for parallelisable tasks, under a real-world workload, and validate theoretical expectations with the results from system simulations. Meta Tags Meta tags resource allocation algorithms, algorithm optimisation, optimisation, paralellisation, hpc, servers, convex optimisation, computer science, maths, performance 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 Aadya Mudgil Contributor An entity responsible for making contributions to the resource Arpan Mukhopadhyay Subject The topic of the resource Computer Science Title A name given to the resource On Optimal Resource Allocation Algorithms for Paralellisable Jobs 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/2aa373281c175f18ae2b83c2311fc2d5.pdf 11b5a6f7f76b359f4513c3c2959b974a 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 Paper An academic paper Abstract The abstract of the paper We consider a stochastic Ising model evolving according to Glauber dynamics on a complete graph $\G$ with two clusters $\G_1$,$\G_2$. We analyse the metastability of the model and its dependence on the interaction coefficient $J^*$ between vertices $v\in G_1$, $w \in \G_2$. We also investigate the change to dynamics when a positive magnetic field with strength $h$ is introduced. In our study of the metastability we focus on the expected hitting time $\mathbb{E}[\tau^m_s]$. In \cite{Manzo}, the authors show that in the absence of deep cycles, provided we have good control on the typical paths from a $\X_m$, it is possible to derive asymptotic results concerning this value. In addition to asymptotic behaviour, we analyse the dynamics in the $n\to \infty$ limit via large deviation theory. Thus we provide weak convergence results for the Gibbs measure for under the mean-field assumption and identify changes to the dynamics below and above critical temperatures. Meta Tags Meta tags Markov Processes, Interacting Particle Systems, Large Deviation Theory 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 Mathematics Date A point or period of time associated with an event in the lifecycle of the resource 2024 Contributor An entity responsible for making contributions to the resource Dr Paul Chleboun Title A name given to the resource Metastable Dynamics of Interacting Particle Systems Creator An entity primarily responsible for making the resource Tim Gunaydin 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://www.youtube.com/watch?v=jQwc9ZHmJIM Meta Tags Meta tags Sustainability, Green, Concrete, Development, Engineering, Technology 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 implementation of geopolymer concrete in developing countries Description An account of the resource Investigating the implementation of geopolymer concrete in developing countries Creator An entity primarily responsible for making the resource Divine Adegbayi Oyewole Subject The topic of the resource Engineering 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/5dcc7cc5946169ddbe15a2cbd3e0c5f0.pdf 07b2931c10d70ffedd897a3a10f4a299 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 Investigating the potential implementation of geopolymer concrete in developing countries Meta Tags Meta tags Sustainability, green, environment, engineering, concrete, technology, development 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 Divine Adegbayi Oyewole Subject The topic of the resource Engineering Title A name given to the resource Investigating the implementation of Geopolymer concrete in developing countries through researching the effect of fibres on geopolymer concrete 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/7e56433bd5c5182137eea2e6e50668d1.pdf f2514de414182b1fd5e76092adc6d645 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 This project involved building a software to operate FL3030 line camera in python with a user interface which included camera controls.​ Meta Tags Meta tags Software, Chemistry, Physics, Spectroscopy, Programming, Python 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 German Lavygin Contributor An entity responsible for making contributions to the resource Raj Pandya Subject The topic of the resource Chemistry Title A name given to the resource Building software for High-Speed Camera System FL3030​ 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/a100ea551552a8354b8886e01bfea21f.pdf 4e89f1ec7ac02771983bd63a67472c0d 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 Phlebotomine sandflies vector multiple disease-causing agents, such as Leishmania spp. Leishmaniasis causes great disease burden especially in developing nations, remains a neglected tropical disease and is endemic in tropical regions and across the mediterranean basin. Although it is curable, treatment can be problematic and expensive. To improve vector and parasite surveillance, sandfly sensory ecology can be exploited to develop novel tools, such as the use of semiochemicals. This work is part of a multidisciplinary approach to combat sandfly vector borne diseases named CLIMOS. This study aims to test the semiochemicals with the highest potential in the lab under field conditions to assess whether they can influence sandfly catches. The absence of significant results indicate a lack of significant effect of the semiochemicals on sandfly catches compared to the control treatment; thus, the current formulation may not be beneficial for vector surveillance. However, differences in sandfly abundance between sampling sites suggest that environmental factors may play a crucial role in trap effectiveness. The study's limitations include time constraints and challenges related to mounting and identification protocols, highlighting the need for long-term studies and the application of molecular techniques. Future research should aim to identify reasons underlying the lack of significant effects of semiochemicals, and testing different doses to optimise their use further in enhanced traps. Meta Tags Meta tags Leishmaniasis, Vector Surveillance, Sandfly-borne Diseases, Vector-borne diseases, Semiochemicals, Semiochemical Traps, Field testing in Murcia, Spain 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 Life Sciences Date A point or period of time associated with an event in the lifecycle of the resource 2024 Contributor An entity responsible for making contributions to the resource Arturo Hernandez Colina, Orin Courtney Title A name given to the resource The Development of a Sandfly Semiochemical Surveillance Trap: Field-testing in a Leishmania-Endemic Region (Murcia, Spain) Creator An entity primarily responsible for making the resource Danny Chen