64 10 859 https://linen-dog.lnx.warwick.ac.uk/files/original/c6f4fbfe8ff45ce062aae5b66b955c47.pdf 54adc9730a194b2f6304fac728042f92 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 Ghana's tropical climate requires cooling systems for comfortable living and working conditions. However, traditional air conditioning systems are energy intensive, contributing to high electricity bills and greenhouse gas emissions. With Ghana's increasing focus on renewable energy and energy efficiency, there is a growing need for sustainable cooling solutions. This project aims to design, develop, and deploy a solar-powered air conditioning system specifically tailored for Ghanaian homes, providing an affordable, reliable, and environmentally friendly cooling solution for households across the country. By utilizing Ghana's abundant solar energy resources, this innovative system will reduce energy consumption, lower electricity costs, and contribute to a more sustainable future for Ghanaian communities. 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 2024 Title A name given to the resource Solar powered Air Conditioners for Ghanaian Homes Subject The topic of the resource Engineering Creator An entity primarily responsible for making the resource Francis Amegbor 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/e8e322672f051a512f027c354ffada20.pdf 1a764e8cb87623951fad813be8de072e 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 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 Solving Fredholm Equations of the First Kind with Quasi-Monte Carlo Subject The topic of the resource Statistics Date A point or period of time associated with an event in the lifecycle of the resource 2023 Creator An entity primarily responsible for making the resource Aryan Kotwal distribution sets equations Markov numbers Quasi-Monte Carlo random sequences https://linen-dog.lnx.warwick.ac.uk/files/original/32104aeff3c0605892dbbbd2ee040eb6.pdf cb2419a9f419a644a62d48f423ed514e 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 Presentation Meta Tags Meta tags Photography, Photobook, Arts, History, South Africa, Representation, Perceptions, Apartheid, Colonialism, Postcolonialism, Heritage, Race 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 South of the Frame: An Autoethnographic Examination of the Historical and Contemporary Role of Photography in the Politics of Representation in South Africa Description An account of the resource A study on the historical use of photography throughout South African history, alongside an autoethnographic exploration in the form of a postcolonial photobook. Creator An entity primarily responsible for making the resource Noah Gutmann Subject The topic of the resource History 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/9a69f861c41b97b00a09817b81f57d3a.pdf 468604eefd9b1a915f1bae1448f3439b Academic Paper An academic paper Abstract The abstract of the paper Operation Spiderweb in June 2025 demonstrated the devastating efficacy of low-cost unmanned aerial vehicles (UAVs) against high-value strategic targets in 21st-century warfare (Eslami et al., 2026). The operation, alongside sustained infrastructure campaigns during the Russo-Ukrainian and Middle Eastern conflicts, exposed a gap in contemporary defence doctrines; existing systems designed for conventional threats are ill-equipped to counter the low-cost, algorithmic nature of modern drone warfare. This research employs a structured, focused comparative case study of conflicts in Karabakh, Ukraine, and the Middle East using the Most Different Systems Design methodology to detect common patterns of infrastructure vulnerability. Data sources include open-source intelligence (OSINT), IMF and World Bank economic projections, policy documents, and academic literature, and the study applies these findings to Azerbaijan's critical energy infrastructure, to assess economic and geopolitical risks. Since Azerbaijan’s economic activity remains heavily dependent on a highly concentrated cluster of fossil fuel facilities around the Absheron Peninsula, like the Sangachal Terminal, which handles all of Azerbaijan's oil and gas exports (Tavana et al., 2012), the findings indicate that a sustained, targeted drone campaign would not only paralyse the domestic Azerbaijani economy and exhaust sovereign reserves but also trigger significant trade and energy price volatility across Eurasian markets. To address this vulnerability, the following study proposes a layered and cost-optimised defensive model by integrating multi-sensor detection, tiered kinetic and non-kinetic engagement, and comprehensive doctrinal coordination and reform. Together, this framework offers an extensive and adaptable solution to protect fixed critical infrastructure against algorithmic asymmetry, which is rapidly becoming a defining challenge for Eurasian geopolitics and global energy security. Meta Tags Meta tags war, warfare, drones, military technology, geopolitics, Azerbaijan, energy, energy infrastructure, economics of war, security, conflict, politics, critical infrastructure, Operation Spiderweb, drone warfare, defence 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 Spiderweb’s Shadow: Azerbaijan’s Energy Infrastructure and the Emerging Crisis in Eurasian Security Subject The topic of the resource Threats to critical energy infrastructure posed by drone warfare and its implications for Azerbaijan and the region 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 Ramiz Ahmadzada https://linen-dog.lnx.warwick.ac.uk/files/original/143116cc322e0c11b110df100523ec31.pdf 3c8acf86e47c7b97b1a4a60a7778c30a 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 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 SpinW GAG report Subject The topic of the resource Physics Description An account of the resource Limitations of SpinW for researching Gadolinum gallium garnet (GGG) Creator An entity primarily responsible for making the resource Angelo Amirthanayagam Date A point or period of time associated with an event in the lifecycle of the resource 2022 Format The file format, physical medium, or dimensions of the resource pdf crystals gandolinum galium garnet magnetic structures Physics software SpinW https://linen-dog.lnx.warwick.ac.uk/files/original/f8d33d07282a96d26d88510513f09440.pdf 7d5f4448d5799c01f9c0c92c53c6dfff 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 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 Stabilised Video Recording for an All-rotating Monocopter Drone Subject The topic of the resource Engineering Creator An entity primarily responsible for making the resource Artur Pekosz Date A point or period of time associated with an event in the lifecycle of the resource 2023 Artur Pekosz autorotating UAV camera drone Engineering flight video monocopter Raspberry Pi https://linen-dog.lnx.warwick.ac.uk/files/original/845a8a7b132d83ce0fb1abab7f2ad431.pdf e50bbd577bf98b97f020f1d511b365ad 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 Photometric precision and stability of the Marsh Observatory Meta Tags Meta tags Telescopes, Photometry, Programming, Astrophysics 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 Pedrum Abolghasem Shirazi Contributor An entity responsible for making contributions to the resource Samuel Gill Subject The topic of the resource Physics Title A name given to the resource Stability of Marsh Observatory Date A point or period of time associated with an event in the lifecycle of the resource 2024 aggregates aggregation Astrophysics Bacteria cyanobacteria dark filaments gliding image processing imaging light microorganisms motility motility dynamics movement Photometry Programming stimuli telescopes time-lapse https://linen-dog.lnx.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://linen-dog.lnx.warwick.ac.uk/files/original/9950bf4d7c427222504d9179ead1e12d.pdf 04f428011b4b46eefc1883dbd282f217 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 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 Statistics of Galaxy Clusters in Large N-Body Simulations Subject The topic of the resource Mathematics Creator An entity primarily responsible for making the resource Muhammad Mukhtar Date A point or period of time associated with an event in the lifecycle of the resource 2023 galaxy clusters Mathematics Muhammad Mukhtar Sheth-Tormen approximation simulation