78 10 851 https://urss.warwick.ac.uk/files/original/07cb90f309dc1b643b401890256c0dce.pdf 5bb5a9e36385927a5f858aabeaad1607 Academic Poster An academic poster Abstract The abstract of the paper Bacterial black rot disease, caused by Xanthomonas campestris pv. campestris (Xcc), is a global threat to agriculture through infection of key crops such as Brassicas. Treatment options are limited - agrochemicals, such as copper compounds and antibiotics, have limited effectiveness due to bacterial resistance, and phytotoxicity in the environment. Bacteriophages, or phages, are naturally occurring viruses that specifically target and kill pathogenic bacteria and offer a promising biocontrol alternative. Our aim is to investigate the in vitro efficacy of six phages in reducing a diverse range of Xcc populations. Meta Tags Meta tags Bacteriophages, Phage, Phage Therapy, Xanthomonas, Black rot disease, Brassicas 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 Phage therapy to control bacterial Black rot disease in Brassicas. Creator An entity primarily responsible for making the resource Charlotte Malaure, Joshua Walmsley Contributor An entity responsible for making contributions to the resource Morgan Rabiey Subject The topic of the resource Life Sciences https://urss.warwick.ac.uk/files/original/54011b6c828f5f970be9dad3e36272f5.pdf f3720cd02a521ed45ea1ded9dbd42426 Academic Poster An academic poster Abstract The abstract of the paper The Ehlers-Danlos syndromes (EDS) are a group of genetic disorders characterised by joint hypermobility, stretchy skin, or fragile skin, which are not well understood and can have a disabling effect on a person’s life. These syndromes are caused by changes in the structure and function of proteins, such as collagen, which comprise the extracellular matrix (ECM). The ECM holds cells together, but not much is known about how changes in its composition and molecular dynamics contribute to the development of EDS. This study will use solid-state nuclear magnetic resonance (NMR) spectroscopy to determine the atomic structure and dynamics of ECM obtained from cell culture of fibroblasts from people with and without EDS. By carrying out quantitative comparison of NMR relaxation spectra of the two types of samples, we aim to find similarities and differences that lead to the identification of molecular signatures of specific subtypes of EDS. We envisage that this research will lead to a deeper understanding of EDS and provide insights into how it develops and operates on a molecular level. In the long term, we anticipate that our work may lead to developing better diagnosis strategies and more targeted treatments. Meta Tags Meta tags Ehlers-Danlos Syndrome, Solid-State NMR, Collagen, Extracellular Matrix 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 Using Solid-State NMR to Identify Molecular Dynamic Signatures of Extracellular Matrix Dysfunction in Ehlers-Danlos Cells Creator An entity primarily responsible for making the resource Rabiah Ahmed Contributor An entity responsible for making contributions to the resource Dr. Wing Ying Chow, Christopher Dean, Abi Hesson and Dr Adil Safeer Subject The topic of the resource Using Solid-State NMR on Biological Samples https://urss.warwick.ac.uk/files/original/85b052a3dddaf932bd8d5bb93ff26bb4.pdf 8d076455a61b154b9ec79dcde8bd32a0 Academic Poster An academic poster Abstract The abstract of the paper This project investigates whether time-series signals can be compressed without losing the information needed for reliable classification. Four compression methods—PAA, PLA, APCA and Fourier representations—are evaluated on the FordA and ECG5000 datasets using a shared neural-network classifier. The experiments examine classification performance, training and inference efficiency, and robustness to noise and missing values when only 50% or 25% of the original input width is retained. Signal reconstructions and PCA visualisations are also used to examine which structures remain after compression. The results show that Fourier representations provide the strongest overall trade-off, sometimes improving classification performance while reducing input width and model size, although computational speed-ups depend on the dataset and compression method. Meta Tags Meta tags machine learning, dimensionality reduction, signal processing, Fourier transform, neural networks, robustness 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 Time-Series Compression for Classification: Performance, Efficiency and Robustness on FordA and ECG5000 Creator An entity primarily responsible for making the resource Kaitao (Kenneth) Jiang Contributor An entity responsible for making contributions to the resource Weiren Yu Subject The topic of the resource Computer Science – Machine Learning and Time-Series Analysis https://urss.warwick.ac.uk/files/original/0e581eb69c3755e054beead74664ce53.pdf f87bea91357bd4a77bb6461d8fed7479 Academic Poster An academic poster Abstract The abstract of the paper In this project, I investigate how the timing and strength of mosquito vector-control interventions can be optimised to reduce dengue transmission in Veracruz, Mexico. I develop a seasonally forced SEIR model, fitted to historical dengue case data from 2006, to assess the effectiveness of larval control and adulticide independently and in combination. I explore how changes in implementation start day, intervention duration and control strength affect the reduction in dengue cases to identify the optimal strategy. I then explore how long their effectiveness can be maintained when the intervention is delayed. Meta Tags Meta tags Dengue, Vector control, Intervention timing, Model fitting, 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 Optimising mosquito control timing to reduce dengue cases in Veracruz, Mexico Creator An entity primarily responsible for making the resource Rhiana Arora Contributor An entity responsible for making contributions to the resource Alexander Kaye Subject The topic of the resource Vector control of Dengue https://urss.warwick.ac.uk/files/original/e9130f7b896ba563cd0fc5c8fff0da1c.pdf f37c7a13c5a16fff87554d6e1b979686 Academic Paper An academic paper Abstract The abstract of the paper This project investigates digit phenomena motivated by a question of Paul Erdős. We study the occurrence of the digit 7 in powers of 2, asking whether every sufficiently large power of 2 contains the digit 7. More generally, we consider the sequence (a·2ⁿ) for varying positive integers a and formulate the following conjecture: the set of a for which a·2ⁿ contains the digit 7 for all sufficiently large n has full natural density. In pursuit of this conjecture, we develop useful combinatorial and arithmetic estimates, together with a dynamical approach to the leading digits of these numbers. Meta Tags Meta tags number theory, digit occurrence, powers of two, geometric progressions, Benford's law, natural density, logarithmic density, dynamical systems, shrinking targets, irrational rotations, combinatorics, Erdős 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 Digit Occurrence in Geometric Progressions Subject The topic of the resource Mathematics – Number Theory and Dynamical Systems Date A point or period of time associated with an event in the lifecycle of the resource 21/09/2026 Contributor An entity responsible for making contributions to the resource Joel Moreira https://urss.warwick.ac.uk/files/original/95fd450fc4783e941c7d8ced1888ede2.docx f3eb89b93e28f136ac62b1e2155d54ee Academic Paper An academic paper Abstract The abstract of the paper This paper discusses the polity of the Norman adventurer Roussel de Bailleul which existed between 1073 and 1075. It answers how the polity survived for nearly two years with the use of a 'Norman Frontier Society Model' which was similar to other Norman polities such as the Kingdom of Sicily and the Principality of Antioch. Alongside this model, primary sources are utilised to create a contextualised picture of this polity in terms of its politics, economy and society. 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 Normans in Anatolia: An Analysis of the Functioning of the Polity of Roussel de Bailleul during the 1070s Subject The topic of the resource Byzantine Anatolia during the 1070s, primarily the polity of Roussel de Bailleul Date A point or period of time associated with an event in the lifecycle of the resource 1073-1075 Contributor An entity responsible for making contributions to the resource Aysu Dincer Hadjianastasis https://urss.warwick.ac.uk/files/original/ace63c5b93cf482f8d050781af77bfba.pdf efc67a1749184d7a3f00a33a7504fbf4 Academic Poster An academic poster Abstract The abstract of the paper This poster examines changes in caregivers use of iconic gestures during shared book reading with infants aged 13-14 months and 18 months. It investigates whether caregivers increase their use of iconic gestures as infants develop, and whether this change is due to unique or repeated gestures. The findings show caregivers produce significantly more iconic gestures at 18 months, with increase driven by unique gestures. Caregivers further shift towards object based & shorter gestures, suggesting they communicative behaviour adapts alongside infants developing language. Meta Tags Meta tags Psychology, Iconic Gestures, Infant development, Caregiver Infant Interaction, Early Communication 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 From 13-14 to 18 Months: A Comparison of Caregivers’ use of Iconic Gestures During Shared Book Readings with Infants Creator An entity primarily responsible for making the resource Leah Palmer Contributor An entity responsible for making contributions to the resource Suzanne Aussems, Teruni Ahamat Subject The topic of the resource Caregivers' Iconic Gestures https://urss.warwick.ac.uk/files/original/1f4907b5873caca7238f64b79289a74a.pdf f5e86dc60ce312c2b3cbdb428eeb8f87 Academic Poster An academic poster Abstract The abstract of the paper This project explores the possibility of using CAR-T therapy to treat allergies. A CAR-T receptor specific to IgE antibodies was designed, a plasmid containing the receptor was created and this was expressed in Jurkat T cells. An activation assay confirmed that these cells were activated in the presence of the IgE Fc region. This CAR-T receptor may therefore be used for further research as it could be able to specifically target and kill B cells expressing IgE. Meta Tags Meta tags Immunology, medicine, biology, CAR-T therapy, IgE, allergy 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 Exploring IgE-reactive CAR-T cells as a potential therapy for IgE-mediated allergy Creator An entity primarily responsible for making the resource Beth Lovell Contributor An entity responsible for making contributions to the resource John R James Subject The topic of the resource Immunology https://urss.warwick.ac.uk/files/original/93bb87e14c8b5839bb4f97153216f686.pdf 352b456ef30ccf63fe168aa79ae2da5a Academic Poster An academic poster Abstract The abstract of the paper Mannan is a polymer of simple sugar units which forms a major part of the primary cell walls of most plants, but its structure can vary drastically across plant species of different evolutionary stages with no well-understood reason. Samples of a model plant (Arabidopsis thaliana ) with different modifications to the genes which control its mannan will be studied and compared. This should provide some insight into the role mannan plays in the cell. Solid-state NMR, which uses the behaviour of atomic nuclei in a magnetic field to reveal structural information about a sample, is the only non-destructive technique that can provide sufficiently detailed information on the sample cells. 1D and 2D NMR spectra will be acquired, with the spectral shifts being referenced against the CCMRD database. The spectra acquired will reveal the proximity and interactions between plant cell wall components. Future research could solidify the findings through repetition of the study on softwoods as opposed to flowering plants such as Arabidopsis thaliana . Meta Tags Meta tags ssNMR, Mannan, Non-Destructive Testing, Cell Wall Architecture 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 of mannan in the primary cell wall of Arabidopsis thaliana using solid-state NMR Creator An entity primarily responsible for making the resource Maria Gonsalves Subject The topic of the resource Physics of Plant Biology https://urss.warwick.ac.uk/files/original/0fd2b8bd58c678c500666cee789a8baa.docx 973eca4e8f46dc8d558743c49542c4e9 Academic Paper An academic paper Abstract The abstract of the paper Fraudulent banking transactions create substantial financial and operational risks for financial institutions and their customers. The increasing availability of transaction-level data provides an opportunity to identify potentially fraudulent activity using statistical learning methods. This study aims to develop and compare statistical models for predicting whether a banking transaction is fraudulent. A labelled dataset containing approximately 200,000 transaction records is used, with fraud status represented by the binary response variable Fraud. After the removal of direct personal identifiers and other unsuitable fields, variables describing transaction characteristics, customer information, account balances, merchant categories, locations and transaction devices are considered as potential predictors. The labelled data are divided into a 70% training set and a 30% test set using stratified sampling. Two multiple logistic regression models are developed using different sets or representations of the predictor variables. For each model, backward stepwise selection based on the Akaike Information Criterion is used to reduce the full set of candidate predictors. Five-fold cross-validation is conducted within the training data to examine the predictive performance of the modelling procedures. The two final models are then fitted using the complete training set and applied to the independent test set. The test predictions are compared with the actual fraud outcomes using confusion matrices, and the predictive accuracy of each model is calculated. Model 1 achieved a test accuracy of 96.91%, while Model 2 achieved a slightly higher accuracy of 96.93%. Therefore, Model 2 was selected as the final model based on its higher test accuracy. The findings demonstrate how logistic regression and backward variable selection can be used to support the identification of potentially fraudulent banking transactions. However, the results should be interpreted considering limitations relating to data quality and the possible use of simulated transaction data. Meta Tags Meta tags fraud detection, banking transactions, logistic regression, statistical modelling, R 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 Fraud detection in bank transactions using statistical modelling Subject The topic of the resource Fraud detection in bank transactions Date A point or period of time associated with an event in the lifecycle of the resource 2026-09-26 Contributor An entity responsible for making contributions to the resource Lisa Li