7 10 853 https://urss.warwick.ac.uk/files/original/32401569a85d3be4e4309cae0721478c.pdf 021f58da905fb5fbbae6b99fa9f6c511 Academic Poster An academic poster Abstract The abstract of the paper This research investigates whether epigenetic changes, particularly alterations in DNA methylation, can be used to predict the progression of latent tuberculosis infection (LTBI) to active TB. Identifying methylation changes associated with progression could provide an early indication of an individuals risk of developing active disease, potentially allowing treatment to be targeted earlier and improving clinical outcomes. Individuals with LTBI represent a particularly relevant population for this approach, as they have already been exposed to and infected with mycobacterium tuberculosis, allowing research to focus on why some individuals progress to active disease while others remain latent. This research therefore examines DNA methylation patterns in pulmonary immune cells, including alveolar macrophages and T cells, which are among the host cells that naturally encounter M. Tuberculosis. This approach aims to characterise the hosts Epigenetic response to infection, rather than simply detecting the presence of the pathogen itself. 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 Epigenetic Reprogramming of cells in Tuberculosis: A Potential Diagnostic Biomarker Creator An entity primarily responsible for making the resource Adiva Bello, supervised by Leda Mirbahai https://urss.warwick.ac.uk/files/original/06ed1669739c3e6a79087d6ed80f60a4.pdf 7c19f59d4fbedb78bb32ac043fa05edb Academic Paper An academic paper Abstract The abstract of the paper We study the classification of translation invariant Gibbs measures for the dimer model on planar, bipartite, periodic graphs. After developing the general theory of infinite-volume Gibbs measures, we construct a family of ergodic measures as limits of finite-volume Boltzmann measures on a sequence of tori, indexed by a magnetic field. Each such measure has a well-defined slope, given by the gradient of the free energy, and these slopes sweep out the interior of the Newton polygon of the characteristic polynomial of the model. We show that the measure of each slope in the interior of the Newton polygon is mixing, and compute its local statistics as determinants of a kernel given by a contour integral. Finally, we return to the general theory and establish the decomposition of an arbitrary translation invariant Gibbs measure over its ergodic components, which for the dimer model are indexed by slope. The classification is complete on the interior of the Newton polygon and only partial on its boundary, where we describe what obstructs it. Meta Tags Meta tags Mathematics, Mathematical Physics, Probability, Combinatorics 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 Gibbs Measures for the Dimer Model Subject The topic of the resource Probability Theory and Mathematical Physics Date A point or period of time associated with an event in the lifecycle of the resource 8 October 2026 Contributor An entity responsible for making contributions to the resource Valentin Ivanov https://urss.warwick.ac.uk/files/original/30df91fe48fcf8965a84fd184b045856.pdf 7590409ffb0e7ac0da78d55942039c41 Academic Paper An academic paper Abstract The abstract of the paper A long transient occurs when a system takes a prolonged period of time, for example dozens of generations, to approach its final equilibrium or periodic state, meaning that observed initial behaviour may not represent the true long term dynamics. This is particularly important in biology, where the timescale of observations may be much shorter than the timescale of the underlying system. In this report we will take one such biological system and explore how varying its features may have an impact the length of its transient dynamics. Meta Tags Meta tags Mathematics, Mathematical Biology, Modelling, Long Transients, Ecology, Floquet Theory, 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/. Title A name given to the resource Modelling Long Transients in Ecology Subject The topic of the resource Mathematical Biology Date A point or period of time associated with an event in the lifecycle of the resource 07/10/2026 Contributor An entity responsible for making contributions to the resource Nathan Cundy https://urss.warwick.ac.uk/files/original/f539ac01040e3ee3e42b644595f57528.pdf a4aea0ff7b2419d148e24e4096b8e9ab Academic Poster An academic poster Abstract The abstract of the paper Economic downturns can be amplified when weakening conditions lead banks to restrict lending, hence transmitting shocks to households, businesses and the wider economy. Countercyclical capital buffers (CCyBs) thus seek to strengthen the banking system resilience by requiring banks to accumulate additional capital which can then provide greater capacity to absorb losses during periods of stress. Yet, whether having a stronger buffer already in place translates into a more resilient credit provision in the next period remains an important empirical question. This research therefore analyses whether bank credit responds differently to economic conditions depending on the CCyB already in force when a quarter begins. To investigate this, I constructed a quarterly cross-country panel covering the years between 2014 to 2024, combining data from the Bank for International Settlements, the World Bank and the International Monetary Fund. Using fixed-effects panel regressions in R-programming, I examined the relationship between real GDP growth and real bank credit growth and tested whether it is moderated by the pre-quarter CCyB rate. Robustness analyses also compared positive versus zero buffers, focused on countries that actively changed their CCyBs, incorporated unemployment, and explored heterogeneity by financial institution development. Across the main and robustness specifications, the analyses show no statistically significant evidence that higher pre-existing CCyB rates attenuate the contemporaneous relationship between GDP growth and bank credit growth. Another key result is that there is no statistically detectable evidence that this moderation varies with financial institution development. These findings do not imply that CCyBs are ineffective. They however suggest that capital availability alone may not determine lending resilience. Credit demand, borrower creditworthiness, uncertainty, expected losses, timing and policy implementation are other important considerations in the credit transmission. By combining the econometric findings with insights from interviews with economists and policymakers, the research therefore contributes towards a better understanding of when, how and under what conditions CCyBs can most effectively support financial resilience. Meta Tags Meta tags Financial stability, Macroprudential policies, Economics, Policymaking 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 Do countercyclical capital buffer policy decisions affect the bank credit response to economic conditions? Creator An entity primarily responsible for making the resource Stephanie LEE YOU VOON Contributor An entity responsible for making contributions to the resource Dr. Samuel Obeng Subject The topic of the resource Do countercyclical capital buffer policy decisions affect the bank credit response to economic conditions? https://urss.warwick.ac.uk/files/original/7c16344a24c928d0a10277a08666563e.pdf 57d30d95d42bfcc29dc3274cc87ba341 Academic Poster An academic poster Abstract The abstract of the paper We study how periodic perturbations affect the Read–Shockley interaction energy. Using Fourier analysis, we shown that for a mean-zero, C^2 perturbation, the energy of the equally spaced configuration retains the leading term as -Nlog N. Meta Tags Meta tags Read-shockley, interaction energy, dislocation, material 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/. Title A name given to the resource Periodic Perturbations and Asymptotic Behaviour of the Read–Shockley Interaction Energy Creator An entity primarily responsible for making the resource Chung Kiu Curtis Chiu Contributor An entity responsible for making contributions to the resource Florian Theil Subject The topic of the resource Mathematics https://urss.warwick.ac.uk/files/original/d096a3d93437a52a93b12e26b1d34a56.pdf 43d1ad75c02e79145f2f27bd1729f62a Academic Poster An academic poster Abstract The abstract of the paper Aiming for clarity on the concept of genocide by analysing the UN Convention's definition. 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 Philosophy Deconstructed: A Philosophical Investigation Creator An entity primarily responsible for making the resource Amy Grace Upton Subject The topic of the resource Philosophy https://urss.warwick.ac.uk/files/original/53bec40103eacb1701f0a21273e3a31f.ppt 509b4aa7e48027317727cde4612f2799 Academic Poster An academic poster Abstract The abstract of the paper Antimicrobial resistance has resulted in $66.4 billion in costs annually, and over 1 million deaths per year, resulting in a global effort to produce more antimicrobial drugs for clinical use. New drugs need to be tested not only for their antimicrobial efficacy but their antibiofilm activity. Pomegranate molasses and vinegar extracts have shown promising results in MIC's, analysed by culture turbidity and optical density with Escherichia coli and Staphylococcus aureus cultures. Minimum inhibitory concentrations were found at 3.13% and 6.25% respectively, when tested in synthetic wound fluid with pomegranate molasses and lower concentrations of 1.57% and 1.57% in same conditions with pomegranate vinegar. Colony counts indicated effective biofilm eradication in chronic wound models with a more than a 4-log10 reduction in the respective bacteria cultures. Meta Tags Meta tags Pomegranate extract, Punica granatum, antimicrobial activity, antibiofilm activity, biofilm inhibition, minimum inhibitory concentration, collagen wound model, chronic wound model, Escherichia coli, Staphylococcus aureus, OD600 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 Investigation the antibacterial and antibiofilm efficacy of pomegranate extracts against E.coli and S. aureus in chronic wound environment Creator An entity primarily responsible for making the resource Lilianne Kovacsova Contributor An entity responsible for making contributions to the resource , Oluwatosin Qawiyy Orababa Subject The topic of the resource Investigating the antimicrobial and antibiofilm properties of pomegranate extracts https://urss.warwick.ac.uk/files/original/4b253490a8192615346a4e6fcfe65c61.docx 073f067c75b4cbe18bb7d552de55f005 Academic Paper An academic paper Abstract The abstract of the paper Research has found that SHAP's interpretation of model predictions varies with data Sometimes, the predicted results are similar, but the model's interpretation has indeed changed. This research project will study the patterns of change .This project uses AI4I 2020 predictive maintenance data as the dataset, which is divided into 70%, 15%, and 15% fixed partitions. After preprocessing, XGBoost and Random Forest are used to make predictions and use TreeSHAP to interpret the prediction results. In this project, four different degrees of interference will be added to five types of features, and 400 basic test samples, 3 model seeds, 110400 pairs of original perturbation samples, and 883200 feature attribution records will be analyzed In the stable dataset predicted in this experiment, as Gaussian noise increased from 0.01 to 0.20, the explanatory change score of XGBoost increased from 0.047 to 0.201, and the explanatory change score of Random Forest increased from 0.008 to 0.143. The overlap rate of Top-5 was 1.0. In addition, among the 90582 events with a failure probability change rate not exceeding 0.02, there were only two strictly unstable events, both of which were feature exchange positions with similar SHAP values. The difference in interpretation will increase with the increase of data. If you only look at the top value, you may not be able to see subtle differences .Accurate model prediction does not mean stable explanation; Explaining stability does not necessarily mean that the explanation is correct, nor does it mean that it proves causal relationships in reality. Meta Tags Meta tags Explainable AI, SHAP, Machine Learning, Predictive Maintenance, Model Interpretability, Explanation Stability, XGBoost, Random Forest 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 Stability of SHAP Explanations for Tree Models under Data Perturbation: A Multi-Model Empirical Study Based on AI4I 2020 Subject The topic of the resource Explainable AI and SHAP Explanation Stability in Predictive Maintenance Date A point or period of time associated with an event in the lifecycle of the resource 2026-10-03 Contributor An entity responsible for making contributions to the resource Bo Zhou https://urss.warwick.ac.uk/files/original/4b2fafd58783bf7737f678cbdae9fcf8.ppt 727fec9330e729b3c1ae47b07aa3802a Academic Poster An academic poster Abstract The abstract of the paper Pharmaceutical pollution of river water through sewage spills, improper disposal and hospital wastewater discharge is an emerging problem in the UK. In this project, a low-cost, 3D printed electrochemical sensor was used to detect paracetamol (the most used over-the-counter medication in the UK) in river water. To develop an understanding of how the sensor works, the working electrode was imaged using both optical and scanning electron microscopy. The sensor was first trialled in high conductivity salt solutions, before moving on to tap water and river water spiked with 0.1 to 1 mM of paracetamol. Finally, a range of experiments using ferrocenylmethyl trimethylammonium hexafluorophosphate were run to study the reusability of the sensors, and how 3D printed electrodes compare to conventional macroelectrodes. Overall, 3D printed electrochemical sensors have huge potential in the analysis of water quality. These sensors cost less than £5 to produce, compared to typical electrochemical cells which cost approximately £500, and do not require any extensive scientific knowledge to use. In the final part of this project, a written method and accompanying video describing how to use these sensors were made, with the intention to invite local ‘Citizen Scientists’ to test the sensors themselves. Meta Tags Meta tags Chemistry, Electrochemistry, Jessica Ward, river water 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 Developing Low-Cost 3D Printed Electrochemical Sensors for 'Citizen Science' Monitoring of Paracetamol in UK Rivers Creator An entity primarily responsible for making the resource Jessica Ward Contributor An entity responsible for making contributions to the resource Charlie Theobald, Professor Julie Macpherson, Dr Joshua Tully, Simon Browning Subject The topic of the resource Chemistry https://urss.warwick.ac.uk/files/original/d5019434766f933e8db56b4536d5d640.pdf d4bc906d8a1acb504acc40c05543bcc2 Academic Paper An academic paper Abstract The abstract of the paper Factorising integers using elliptic curves Meta Tags Meta tags Mathematics, Elliptic curves 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 Factorising integers using elliptic curves Subject The topic of the resource Mathematics Date A point or period of time associated with an event in the lifecycle of the resource 2026 Contributor An entity responsible for making contributions to the resource Hamza Zahid