5 10 444 https://linen-dog.lnx.warwick.ac.uk/files/original/114fe267f480b74c126a73f5a000055c.pdf cb841910fdcf547b47aa493c5c53229d 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 How can we accurately detect and locate a modification on an RNA molecule using nanopore sequencing data? This is an open problem that requires ideas from both statistics and biology. Supervised by Professors Anastasia Papavasiliou and Jon Forster, I began by simulating the signal data from Oxford Nanopore devices, where a sliding window reads five bases on the mRNA chain at a time. Using R, we constructed a statistical framework which involves working with different distributions such as poisson, inverse gamma and the normal distribution to generate signal values. Then we analysed our signal values, performing hypothesis tests and calculating maximum likelihood scores in order to determine where modifications are likely to be on the mRNA chain. This year, after gaining valuable biological insight at the Laboratory of Immune Diversity in the German Cancer Research Centre in Heidelberg, I have created a greedy search algorithm to maximise our likelihood score and detect RNA modifications from the signal data. To improve the accuracy, we included a posterior likelihood calculation into our score and I also coded a birth-death algorithm. Then, I tested both methods with multiple reads (signal lists) per mRNA type which proved to be more accurate and created interesting results! Meta Tags Meta tags #Statistics, #Mathematics, #Biology, #Optimisation, #Algorithms, #RNA, #Interdisciplinary, #Coding, #Data 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 Jessie (Jie) Zhao Contributor An entity responsible for making contributions to the resource Professor Anastasia Papavasiliou and Professor Jon Forster Subject The topic of the resource Statistics Title A name given to the resource Optimisation of a statistical framework for locating RNA modifications from Nanopore sequencing data 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/1d517fa50b03db181025fca489511720.pdf f3c1c0f434481cf8cd2a1085d517e04c 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 Testing the Utility of Flow Rate Measurements using Clamp-on Transducer in a "Chordal Z-path" Set-up Meta Tags Meta tags Physics, Ultrasound group, Flowmeter, Z-path 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 Ray Edwards Contributor An entity responsible for making contributions to the resource Steve Dixon Subject The topic of the resource Physics Title A name given to the resource Testing the Utility of Flow Rate Measurements using Clamp-on Transducers in a “Chordal Z-path” Set-up 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/6027a047369c243b5e70827a390f8d6d.pot 5f4a540977709b6f44a4dbade7f4e3ca 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 Cellulose is the most abundant natural polymer in the world, acting as the primary structural component in plant cell walls and key in processing several biomaterials. Cellulosic materials are sustainable alternatives to synthesised polymers such as plastics, with the potential to replace them in many sectors, such as textiles and packaging. To utilise cellulose effectively, we must understand how its structure changes under a variety of treatments and processes. Inspired by this notion, this project investigates how different drying methods affect the structure of cellulose extracted from tomatoes, using solid-state nuclear magnetic resonance (ssNMR), a spectroscopic technique that reveals the molecular structure without destroying the sample. Meta Tags Meta tags cellulose, NMR, tomatoes, physics, chemistry, biology, sustainable, 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 Scott Steer Contributor An entity responsible for making contributions to the resource Rosalie Cresswell, Christine Yang Subject The topic of the resource Chemistry Title A name given to the resource Solid-state NMR and the structure of cellulose https://linen-dog.lnx.warwick.ac.uk/files/original/8a76c3c962cd88fa0ac32e6f52fa5bb0.pdf bc91a866ef16eeee5bae8ae533297c6d 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 Ruthenium(II) polypyridyl complexes are promising alternatives to platinum-based anticancer drugs due to their tunable photophysical properties and reversible DNA interactions. This study reports the synthesis, characterisation, and DNA-binding analysis of [Ru(dmbpy)₂(tpphz)]²⁺. The complex was successfully prepared and confirmed using 1H NMR, IR, UV-Vis, and mass spectrometry. UV-Vis spectra revealed characteristic MLCT bands near 450 nm, while DNA titrations showed hypochromism and red shifts, indicating intercalation. Luminescence studies demonstrated a ‘light-switch’ effect upon DNA addition, consistent with increased emission in the bound state. The binding constant (K_b ≈ 3.9 × 10⁵ M⁻¹) and low quantum yield (Φ ≈ 2%) suggest moderate affinity but promising photoactive potential. Overall, [Ru(dmbpy)₂(tpphz)]²⁺ exhibits characteristics desirable for further investigation as a potential photoactivated anticancer agent. Meta Tags Meta tags Chemistry, DNA, synthesis, Characterisation, therapeutics. 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 Ruby Lucia Millinsip Subject The topic of the resource Chemistry Title A name given to the resource Synthesis, Characterisation and DNA binding studies of [Ru(dmbpy)(tpphz)] for Potential Anti-Cancer Applications 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/d494118b127c0e135c1ebffbeed0ddd9.pdf 36d0bcc0ab8955132e3065f820db1e39 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 Traditionally, academics have suggested that generating excess returns off timing the market, i.e. buying or selling financial products off frequent predictions requires maintaining an unreasonably high level of predictive accuracy. However, recent advancements in machine learning have motivated the adoption of predictive algorithms in financial markets. This highlights the importance of the question: How accurate do predictive algorithms have to be "useful"? To answer this, we study 2 problems related to the value of predictive accuracy in directional models for trading. We obtain results on the relationship between predictive accuracy and returns, and results on quantifying thresholds for when a predictive signal provides significant edge. Meta Tags Meta tags Mathematical Finance, Probability, Statistics, Mathematics, Trading, Predictive Models 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 Daiki Asano, James Cheng, Zelin Sun, Matthew Zhao Contributor An entity responsible for making contributions to the resource Daiki Asano, James Cheng, Zelin Sun, Matthew Zhao Title A name given to the resource The Value of Predictive Accuracy in Directional Models for Trading Subject The topic of the resource Statistics 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/1e476668d9dd20f071c41ba049fc0a4c.pdf 02fd145dee3ce3e63382f927dbcc9fef 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 Molecules relax to their most stable, lowest-energy structures through geometry relaxation. While DFT provides accurate results, it is computationally expensive. This work compares machine learning interatomic potentials (MLIPs) to DFT, evaluating how well MLIPs reproduce DFT-level stability at a fraction of the cost. Meta Tags Meta tags Computational Chemistry, DFT, Density Functional Theory, MLIP, VASP, Atomic Simulations Environment, CHGNet, MACE, SevenNet 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 Ashan Balasuntharam Subject The topic of the resource Chemistry Title A name given to the resource Making Molecules Stable: How AI Helps in Relaxations 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/ee7ab7e9b2bf29241be93c0c5134f2a7.pdf 3e6ac36607e5804ccb68f4ebc0e1deaa 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 Multi-Adaptive Threshold Model is a system of equations that describe an action potential for a neuron cell. What is special about this model is that the spiking threshold, which is the threshold of potential required for a neuron cell to spike, adapts with time instead of being constant. The external input current of the neuron is also a stochastic process, and therefore the neuron potential also isn’t deterministic. This project looks at the theoretical properties of the system of equations, plots the system of equations features in the spiking times of neuron cells. Meta Tags Meta tags Stochastic differential equations Stochastic simulation Mathematical Neuroscience Data 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/. Creator An entity primarily responsible for making the resource Yat Hong Byron Lam Contributor An entity responsible for making contributions to the resource Dr. Massimiliano Tamborrino Subject The topic of the resource Statistics Title A name given to the resource The Multi-Adaptive Threshold Model in Mathematical Neuroscience and Its Results 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/51f09b2f54d76f2f0446efe8ba3559dc.pdf 2a3977dcf9324abbaa5c82413c684d4d 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 demonstrates the sustainable synthesis of poly(n-butyl methacrylate) (PBMA) latexes via electrochemical Reversible Addition–Fragmentation Chain Transfer (eRAFT) polymerisation using reactive macromonomer surfactants. The incorporation of tBMA-co-BMA macromolecules provided effective covalent stabilisation, yielding PBMA with controlled molecular weight and low dispersity. These findings highlight eRAFT as a promising route towards greener, more stable methacrylate polymer production for industrial applications. Meta Tags Meta tags Macromers, CCTP, eRAFT, PBMA, poly(butyl methacrylate), reactive surfactant 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 Amy Lam Contributor An entity responsible for making contributions to the resource Prof. Paul Wilson Title A name given to the resource Sustainable PBMA synthesis via eRAFT using reactive surfactant Date A point or period of time associated with an event in the lifecycle of the resource 2025 Subject The topic of the resource Chemistry https://linen-dog.lnx.warwick.ac.uk/files/original/17d2185256e7a742059afd75b38d5070.pdf 549093bd49a372b6ea6169d29d7c69e4 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 Epstein-Barr virus is a ubiquitous human virus, with over 90% of adults worldwide being asymptomatic carriers. It is known to be associated with elevated risk of several specific cancers, including naso-pharyngeal carcinoma and Burkitt's lymphoma. Studying the mechanisms of how the virus causes cancer to develop gives insights on how to create more effective treatments for those cancers. This project explored the culturing of EBV+ cell lines, and the preliminary assays needed to conduct future research into anticancer treatments. Meta Tags Meta tags epstein-barr virus, cell culture, cancer, lymphoma, naso-pharyngeal carcinoma, research, SRB assay 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 Caroline Demuth Contributor An entity responsible for making contributions to the resource Dr. Hannah Bridgewater, Morgan Barton Subject The topic of the resource Life Sciences  Title A name given to the resource How cancerous cell lines are used in research into treatments for Epstein-Barr virus Description An account of the resource Epstein-Barr virus, Cell culture 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/2a6d772dcb6af18c6b6800152d604dd3.pdf bcbb718db628ef88f27dbe2f0cd7c5d8 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 report contains our research output after participating in the 2025 Undergraduate Research Support Scheme (URSS) at the University of Warwick. The project was carried out with the Warwick Mathematics Institute (WMI) under the supervision of Helena Verrill. First, we introduce important concepts that we then use to study some of the properties of the stereographic projection. Using these properties, we investigate how this projection redistributes lattice points by extending Minkowski's theorem to sets on the sphere. We finish our project by developing and 3D printing models of the stereographic projection. Meta Tags Meta tags Mathematics, geometry, number theory, stereographic projection, Minkowski's theorem 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 Physics Date A point or period of time associated with an event in the lifecycle of the resource 2025 Title A name given to the resource Properties of the Stereographic Projection of Lattice Points Description An account of the resource Alessandro Sainaghi