76 10 900 https://linen-dog.lnx.warwick.ac.uk/files/original/c594b769aa019543988d2de567c782a6.pdf 32c9a924bc215f4bb9758b9094815861 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 Arts Academic Paper An academic paper Abstract The abstract of the paper Archives to Airways: Translating History for Public Audiences Meta Tags Meta tags History, Public History, Media, Historiography, Documentary, Podcast, Museum, Memory, Identity, Digitisation, 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 Public history 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 Archives to Airways: Translating History for Public Audiences Creator An entity primarily responsible for making the resource Harry McNeile https://linen-dog.lnx.warwick.ac.uk/files/original/00e4bd2477baa132f3ef9d14de95f331.pdf cda88e29574a7eea799d69e1eede4e15 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 project aims to comprehensively implement and evaluate several machine learning models for the critical task of brain tumour classification using Magnetic Resonance Imaging (MRI) data. A classical Support Vector Machine (SVM) will serve as a baseline, against which the performance of advanced deep learning architectures, including Convolutional Neural Networks (CNNs) and a Bayesian Convolutional Neural Network (BCNN), will be assessed. The study will rigorously compare these models across key performance indicators: classification accuracy, the robustness of uncertainty quantification, and computational efficiency. Ultimately, this work seeks to provide valuable insights into the efficacy and utility of diverse machine learning paradigms in medical image analysis, with a particular focus on the crucial role of uncertainty estimation in supporting more reliable and informed decisions for early brain tumour diagnosis. Meta Tags Meta tags Mathematics, Machine Learning, Statistics, Computer Vision, Deep Learning, Bayesian, Medical Imaging 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/. Date A point or period of time associated with an event in the lifecycle of the resource 2005 Title A name given to the resource Machine Learning for Brain Tumour Detection: Comparing Probabilistic, Classical, and Deep Learning Models Subject The topic of the resource Statistics Creator An entity primarily responsible for making the resource Ignacio Vigil Cardenal https://linen-dog.lnx.warwick.ac.uk/files/original/01ec36dadcf78c1866e5326df73c16d2.ppt 863b1cecbf48628abb54e1e59061eb59 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 Poster An academic poster Abstract The abstract of the paper This research investigates and compares the predictive performance of two time-series forecasting methods—Auto-Regressive Integrated Moving Average (ARIMA) and Long Short-Term Memory (LSTM) neural network for stock price prediction. The study uses historical stock price data obtained from Yahoo Finance to evaluate each model’s ability to predict trends. The ARIMA model, implemented using the “statsmodels” library, serves as a traditional statistical benchmark for modelling autocorrelated and stationary data. In contrast, the LSTM model, developed using “TensorFlow/Keras”, represents a modern deep learning approach capable of learning long-term dependencies and complex temporal dynamics. Data were divided into training and testing sets, with the final 15% reserved for out-of-sample evaluation. Model performance was assessed using Root Mean Square Error (RMSE) and Mean Absolute Error (MAE). Meta Tags Meta tags machine learning, ARIMA, LSTM, stock prediction 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 Ka Ngai Wong Contributor An entity responsible for making contributions to the resource Dr Salimeh Pour Mohammad Title A name given to the resource Comparison of ARIMA and LSTM model on stock price predictions Subject The topic of the resource Mathematics Date A point or period of time associated with an event in the lifecycle of the resource 2025 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://warwick.ac.uk/fac/sci/lifesci/wcc/wccblogs/urss2025/report/ Meta Tags Meta tags plants, sensitivity, specificity, plant modelling, simulations, pests 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 Understanding the impact of variations in the reliability of visual inspection on pest detection Creator An entity primarily responsible for making the resource Shrey Majithia 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 2025 https://linen-dog.lnx.warwick.ac.uk/files/original/e9fb71e2a6ee2e950f08b3bd334ba5b7.pdf 1921b2f5fafa92ec6941eb03e817507b 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 investigates a novel kind of automaton, PQA and demonstrates that the class of languages it represents has interesting properties. Meta Tags Meta tags Automata, Computer Science, Priority Queue Automata, John Ellis, Formal Languages, Ackermann Hard 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 John Ellis Contributor An entity responsible for making contributions to the resource John Ellis Title A name given to the resource Priority Queue Automata Subject The topic of the resource Computer Science Date A point or period of time associated with an event in the lifecycle of the resource 2025 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://abelaineladinez.wixsite.com/abbysurssblog Meta Tags Meta tags Development, Centrosomes, Localisation, C. elegans, Molecular Biology 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 Localising Centrosomal Proteins During Embryogenesis Description An account of the resource Blog documenting my experience within a developmental biology lab, exploring new techniques and molecular biology skills. Creator An entity primarily responsible for making the resource Abelaine Ladinez 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 2025 https://linen-dog.lnx.warwick.ac.uk/files/original/f106dfbae9e097fc61d4af6f587688e8.pdf 23ca740e18d33ab51d3d8625e71e1b4d 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 Social Sciences Subject The topic of the resource Social Sciences Academic Paper An academic paper Abstract The abstract of the paper Rural India continues to grapple with high school dropout rates despite decades of expanding school access. National statistics show that dropout rates climb dramatically at higher grade levels. While the primary‑school dropout rate is roughly 1.5%, the secondary dropout rate exceeds 12% and rises to around 17% in the latest UDISE+ data (Education Department, 2021; Education Department, 2020). The problem is multidimensional: poverty, distance to school, gender‑specific challenges such as menstruation, and the quality of school facilities all influence whether a child completes school. The following research project investigated how targeted donations (computers, tables, cameras, cycles, sanitary pads and similar resources) and school‑level facilities influence student attendance, retention, learning enjoyment, etc. in two rural schools in Maharashtra. A mixed-methods approach was used, combining surveys of 174 students and teachers with qualitative conversations with headmasters to understand local conditions and perceptions. Key findings show that school facilities have a multi-dimensional impact on students’ educational experiences. Improvements to sanitation and menstrual hygiene facilities most strongly enhanced attendance and wellbeing among girls, while bicycles reduced the strain of long commutes. Upgraded classrooms, libraries, and computer access improved motivation, enjoyment, and engagement across all grades, and students also perceived better-equipped environments as strengthening teaching quality and community participation. Overall, the findings demonstrate that donor-supported facilities complement government schemes by addressing both material and social barriers to schooling. Sustained investment in sanitation, transport, and learning infrastructure is therefore essential not only for reducing dropout but also for creating more inclusive and motivating learning environments in rural India. Meta Tags Meta tags Education, Rural India, Public Policy, Sociology 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 Economics Date A point or period of time associated with an event in the lifecycle of the resource 2025 Contributor An entity responsible for making contributions to the resource Rebecca Morris, Tom Perry Title A name given to the resource Perceived Impact of Donated Facilities in Rural Maharashtra Creator An entity primarily responsible for making the resource Aditya Patel https://linen-dog.lnx.warwick.ac.uk/files/original/2aff74642199a2a0237ec22fe588eb6f.pdf 0edb32db8f44169e827cc3eb32e6a99d 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 Marsh Observatory is a new on-campus astronomical observatory that opened in November 2023, equipped with a 0.4m robotic telescope capable of imaging planets, stars, and galaxies. Our project aims to explore new scientific applications for the Marsh Observatory and test it's observational limits using the main telescope, as well as developing and implementing a new solar telescope system to enable continuous imaging of the Sun. Meta Tags Meta tags Astronomy, Space, Physics 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 Feryal Mirza and Shriram Vijaysampath Subject The topic of the resource Astrophysics Title A name given to the resource Expanding the Power of the Marsh Observatory for Solar and Exoplanet Research 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/1392d19e659bb187ce8d93e04e00a217.PNG 667352144a223f47bc161ec7c88d4325 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 retrospective audit evaluated compliance with local and national guidelines for venous thromboembolism (VTE) prophylaxis among adult ENT inpatients at University Hospitals Coventry & Warwickshire (UHCW) during September 2025. Patient records were reviewed via the Electronic Patient Record (EPR) system to assess timely completion of VTE risk assessments, appropriate prescribing of prophylaxis based on patient weight and renal function, and adherence to UHCW and NICE NG89 standards. Of the 25 patients included, 96% received appropriate VTE prophylaxis, with only one instance of incorrect Enoxaparin dosing identified. Weight was documented in 92% of cases, and renal function in 63%. These findings indicate a strong overall compliance with local and national standards, though opportunities remain to improve documentation consistency and dosing accuracy. Recommendations include targeted staff education on weight- and renal-adjusted dosing, reinforcement of timely VTE risk assessments, and the introduction of electronic prescribing alerts to minimise human error. A re-audit is planned within six months to monitor progress. This audit demonstrates that VTE prophylaxis practices within the ENT department at UHCW are robust, but highlights the need for ongoing vigilance to ensure continued patient safety and adherence to best practice. Meta Tags Meta tags VTE prophylaxis, venous thromboembolism, ENT surgery, audit, clinical audit, patient safety, Enoxaparin, anticoagulation, hospital compliance, NICE guidelines, UHCW, thromboprophylaxis, risk assessment, quality improvement, medication safety 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 Dina Atra & Ajmal Ahmed Contributor An entity responsible for making contributions to the resource Max Frost (WMS student, year 3) Subject The topic of the resource Warwick Medical School Title A name given to the resource Subject Evaluation of Venous Thromboembolism (VTE) prophylaxis and compliance with local guidelines in adult ENT Inpatient Wards at University Hospitals Coventry & Warwickshire (UHCW) 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/8d8974c70d6153832e8749efdec1baf3.pdf c1698567725af217a7fd9e7f37d876f0 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 retrospective audit evaluated compliance with local and national guidelines for venous thromboembolism (VTE) prophylaxis among adult ENT inpatients at University Hospitals Coventry & Warwickshire (UHCW) during September 2025. Patient records were reviewed via the Electronic Patient Record (EPR) system to assess timely completion of VTE risk assessments, appropriate prescribing of prophylaxis based on patient weight and renal function, and adherence to UHCW and NICE NG89 standards. Of the 25 patients included, 96% received appropriate VTE prophylaxis, with only one instance of incorrect Enoxaparin dosing identified. Weight was documented in 92% of cases, and renal function in 63%. These findings indicate a strong overall compliance with local and national standards, though opportunities remain to improve documentation consistency and dosing accuracy. Recommendations include targeted staff education on weight- and renal-adjusted dosing, reinforcement of timely VTE risk assessments, and the introduction of electronic prescribing alerts to minimise human error. A re-audit is planned within six months to monitor progress. This audit demonstrates that VTE prophylaxis practices within the ENT department at UHCW are robust, but highlights the need for ongoing vigilance to ensure continued patient safety and adherence to best practice. Meta Tags Meta tags VTE prophylaxis, venous thromboembolism, ENT surgery, audit, clinical audit, patient safety, Enoxaparin, anticoagulation, hospital compliance, NICE guidelines, UHCW, thromboprophylaxis, risk assessment, quality improvement, medication safety 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 Warwick Medical School 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 Evaluation of Venous Thromboembolism (VTE) prophylaxis and compliance with local guidelines in adult ENT Inpatient Wards at University Hospitals Coventry & Warwickshire (UHCW) Creator An entity primarily responsible for making the resource Dina Atra, Ajmal Ahmed & Max Frost