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              <text>The Russia--Ukraine war disrupted global food commodity markets, raising concerns over food prices and food security across Africa. This study examines whether countries with greater pre-war dependence on cereal imports from Russia and Ukraine experienced larger increases in domestic food inflation following the outbreak of the conflict, and whether transmission varied with economic development.  Using a monthly panel of 25 African economies from January 2017 to September 2025, the study employs a Difference-in-Differences framework exploiting cross-country variation in pre-war import dependence. Country and month fixed effects account for unobserved heterogeneity and common global shocks, while exchange-rate movements are included as a control. Robustness is assessed using alternative treatment definitions, fixed-effects specifications, placebo tests and leave-one-country-out estimation.  The baseline results provide limited evidence that pre-war dependence on Russian and Ukrainian cereal imports systematically increased domestic food inflation following the outbreak of the war. However, substantial heterogeneity emerges across countries. Higher economic development is associated with significantly smaller increases in food inflation. Further analysis indicates that supplier concentration and domestic cereal production capacity help explain this resilience. Overall, the findings suggest that structural characteristics, rather than import dependence alone, shape countries' resilience to global food commodity shocks.</text>
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              <text>Economics, Food inflation, Food prices, Commodity price shocks, Russia-Ukraine war, Africa, Economic development, Food security, Cereal imports, Import dependence, Economic resilience, Difference-in-Differences, International economics</text>
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                <text>The Transmission of Global Food Commodity Shocks to Food Inflation in Africa: Evidence from the Russia–Ukraine War</text>
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                <text>Daniel Whitehouse, Prof Natalie Chen</text>
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              <text>This project studies the weak and strong cop numbers of Cayley graphs of finitely generated groups, with particular emphasis on methods for proving that the strong cop number is infinite. After reviewing several known results and techniques, we investigate a number of non-hyperbolic examples. For right-angled Artin groups, whose strong cop numbers are already determined by known results, we give a direct proof using explicit quasi-retractions onto ℤ². A novelty of this work is the proof that the discrete three-dimensional Heisenberg group H₃(ℤ) has infinite strong cop number. To show this, we introduce a weighted coordinate function comparable to the word metric and use the Heisenberg dilations to construct a sequence of quasi-homotheties. Motivated by this argument, we study a semidirect product ℤ³ ⋊ₐ ℤ and establish an analogous word-metric comparison, while the corresponding quasi-homothety problem is left open.&#13;
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                <text>Infinite Strong Cop Number of the Three-Dimensional Heisenberg Group</text>
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                <text>Dr Jerónimo García Mejía (URSS Supervisor)</text>
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              <text>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.</text>
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              <text>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.</text>
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              <text>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.</text>
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                <text>, Oluwatosin Qawiyy Orababa</text>
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              <text>Aiming for clarity on the concept of genocide by analysing the UN Convention's definition.</text>
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                <text>Philosophy Deconstructed: A Philosophical Investigation</text>
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                <text>Amy Grace Upton</text>
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              <text>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.</text>
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              <text>Read-shockley, interaction energy, dislocation, material science</text>
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                <text>Periodic Perturbations and Asymptotic Behaviour of the Read–Shockley Interaction Energy</text>
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                <text>Chung Kiu Curtis Chiu</text>
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              <elementText elementTextId="5284">
                <text>Florian Theil</text>
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                <text>Mathematics</text>
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              <text>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. </text>
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              <text>Financial stability, Macroprudential policies, Economics, Policymaking</text>
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          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
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                <text>Do countercyclical capital buffer policy decisions affect the bank credit response to economic conditions?</text>
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          <element elementId="39">
            <name>Creator</name>
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                <text>Stephanie LEE YOU VOON</text>
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              <elementText elementTextId="5290">
                <text>Dr. Samuel Obeng</text>
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          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
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              <elementText elementTextId="5291">
                <text>Do countercyclical capital buffer policy decisions affect the bank credit response to economic conditions?</text>
              </elementText>
            </elementTextContainer>
          </element>
        </elementContainer>
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