8 10 444 https://linen-dog.lnx.warwick.ac.uk/files/original/93ff7a61d1887af6a47732d99c64607e.pdf 4c15a569f8658e6ecb076f28b566592b 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 Using Electron/μ Lepton Data to Estimate the τ-lepton Final States from Electroweak Boson Production Meta Tags Meta tags Higgs,noramlising,flows 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 Arunvir Singh Dhahan Subject The topic of the resource Particle physics Title A name given to the resource Using Electron/μ Lepton Data to Estimate the τ-lepton Final States from Electroweak Boson Production 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/2f7412c983d8f119922cf4c27bc2cf48.pdf 119f15c9dcf6f5d40ebcf5f0c7f12d21 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 Comparing neural networks across architectures is a challenging task: performance metrics like accuracy are often non-exhaustive, while representation metrics (e.g., CKA/RDM) can be biased and affected by data preprocessing. We introduce a sheaf-based framework that produces a compact, dataset-conditioned functional fingerprint of a network using intermediate activations. Starting from a model’s computational graph (in this work restricted to sequential MLP/CNN architectures) we build a sheaf by attaching metric–measure stalks to layers and construct linear restriction maps via entropic Gromov–Wasserstein optimal transport. From each sheaf we build a filtration and extract the trajectory of Laplacian eigenvalues. We use the mean eigenvalue curves as our network fingerprint. To compare models, we compute Dynamic Time Warping (DTW) distance between fingerprints. We conduct extensive experiments with different architectures and datasets and empirically show that our fingerprints cluster models by functional behaviour and separate trained from random instances with high external validity, while exhibiting strong internal quality and robustness. This new approach complements existing representation metrics, scales to heterogeneous widths/depths without one-to-one layer matches, and provides a principled, low-dimensional summary for cross-architecture comparison. Meta Tags Meta tags Sheaf theory, Cellular sheaves, Sheaf Laplacian, Architecture-agnostic model comparison, Neural network comparison, Functional similarity, Representational similarity, Activation geometry, Metric–measure spaces, Gromov–Wasserstein optimal transport (GW), Entropic optimal transport, Dynamic Time Warping (DTW), Spectral fingerprints, Eigenvalue trajectories, Weight-threshold filtration, Spectral graph theory, Topological data analysis (TDA), Permutation invariance, Cross-architecture analysis, Model fingerprinting, Robustness and stability, Clustering metrics (ARI, Silhouette), CNNs, MLPs, Digit dataset, Synthetic Torus dataset, CKA, RSA, Procrustes. 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 Physics 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 A Sheaf-based Framework for Architecture-Agnostic Comparison of Neural Networks Creator An entity primarily responsible for making the resource Francesco Papini https://linen-dog.lnx.warwick.ac.uk/files/original/b70651bd411f00ab6ad4c5178c2ca303.pdf 98e260e837392fed9a7e7f87d445ff4d 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 uses Earth Observation and InSAR satellite data to improve the mapping of peat thickness across Northern Ireland. By integrating terrain parameters such as slope, topographic position index (TPI), and topographic wetness index (TWI) with ground motion data, a semi-supervised machine learning approach was developed to distinguish areas of thin and thick peat. Improved spatial understanding of peat depth supports carbon accounting, geohazard risk assessment, and infrastructure planning in peatland regions. This research demonstrates how remote sensing can deliver cost-effective, scalable, and data-driven solutions for climate resilience and environmental monitoring. Peatlands are vital carbon stores that regulate hydrology and mitigate climate change, yet over 80% of UK peat is degraded and emitting carbon. Meta Tags Meta tags Earth Observation, machine learning, peatlands, carbon storage, remote sensing, InSAR, climate change mitigation, geohazard risk, spatial analysis, environmental monitoring. 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 Enzo Lim Contributor An entity responsible for making contributions to the resource Enzo Lim and BGS Subject The topic of the resource Engineering Title A name given to the resource Using Earth Observation for UK Carbon Storage Monitoring and Future Geohazard Risk 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/6c92b2fc748d75728b8fdfc51c2595e8.pdf 18cbac2668b308c9d5dfb33a7328bf32 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 explores the vibrational lifetimes of carbon monoxide (CO) on different sites of platinum (Pt) nanoclusters (NC). This is a study looking into how different geometries affect the lifetime of CO vibrations on NCs. This research is important in the optimisation of nanotechnology in catalytic processes along with predicting light-driven CO desorption from NCs. Meta Tags Meta tags Nanotechnology, Heterogeneous systems, catalysis, theoretical chemistry 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 Jake Clifton Contributor An entity responsible for making contributions to the resource Reinhard Maurer, Nils Hertl and Lukas Hoermann Subject The topic of the resource Chemistry Title A name given to the resource Investigating Vibrational Lifetimes of CO Adsorbed on Platinum Nanoparticles 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/c0ed80b05598a44868f03dd1d52a6824.pdf 9d151618a2715f1f90f624f83a222648 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 Ghana possesses over 1.9 million hectares of irrigable land, yet less than 3% is currently utilized, with agriculture remaining largely rainfed. This research explores the transformative potential of Variable Frequency Drives (VFDs) in modernizing irrigation systems to address inefficiencies in energy use, water distribution, and equipment longevity. By integrating advanced motor control techniques and real-time systems using dSPACE MicroAutoBox III, the study demonstrates how VFDs can significantly reduce power consumption, mechanical stress, and over-irrigation. Mathematical modeling and Hardware-in-the-Loop (HIL) testing validate the system’s performance under dynamic conditions. Results show up to 50% energy savings and 30% water conservation during partial load operations. The research recommends pilot deployments, technician training, and solar-VFD integration to support Ghana’s 2025 electrification goals. VFD technology offers a scalable, sustainable solution for enhancing agricultural productivity and resource efficiency across Ghana’s irrigation landscape. Meta Tags Meta tags Ghana irrigation, VFD, sustainable agriculture, motor control, energy efficiency, solar irrigation, smart farming 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 Francis Amegbor Contributor An entity responsible for making contributions to the resource Dr Oleh Kiselychnyk Subject The topic of the resource Engineering Title A name given to the resource Optimizing Ghana's Irrigation Systems with Variable Frequency Drives (VFDs): Advanced Motor Control for Sustainable Agricultural Development 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/bda3fdc960417dc427da2e5b5272f570.pdf f425f02d6c5369de0d0eafcb2968ba84 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 The Brown Dwarf Desert, encapsulating the bias of brown dwarf companions towards wide separations (>1000AU), means that transiting brown dwarfs should be rare phenomena. The following study investigates this claim by simulating a model population of all transiting brown dwarfs in the Solar neighbourhood using existing expected distributions of brown dwarf properties. Initial results found a significant underdensity of these objects compared to the current numbers detected by TESS as a result of typically wider separations in the model population. Modifying this population with a power-law separation distribution found that an exponent of α>0.405 is necessary for making the model population agree with the TESS data. Likewise, a log-normal distribution requires a mean of μ<0.4 (equivalent to a peak in the distribution <2.5AU) and a standard deviation of 0.6<σ<1.0, yet this must also be combined with an increase in the binary fraction of f>3.7%. This highlights the alarming contradiction between our current understanding of the Brown Dwarf Desert and the number of transiting brown dwarfs that have been discovered, meaning a refinement of separation models is necessary. Meta Tags Meta tags brown dwarf, binary systems, Solar neighbourhood, transit, separation, Brown Dwarf Desert 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 Physics 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 Brown Dwarf Binaries and the Brown Dwarf Desert Creator An entity primarily responsible for making the resource Callum J. Hodge https://linen-dog.lnx.warwick.ac.uk/files/original/3184d58b1b64e18382ffe33eca92a680.pdf f28d5b6b2406f0ca409a7135be3b7dda 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 Terahertz technology holds great promise as a safe tool for skin imaging, with potential applications in diagnostics and cosmetics. The Picobot is a medical imaging system which operates using terahertz-frequency (THz) EM waves - these waves are non-ionising and can obtain a sub-millimeter depth resolution. This makes them a suitable method to image skin without exposure concerns while obtaining high resolution data. The absolute penetration depth of THz light is limited due to its attenuation by water, but this absorption trait could prove useful for differentiating between healthy and drier regions of biological tissue. These waves can penetrate the topmost layer of skin, the stratum corneum, and into the epidermis below. The reflected THz signal carries information about the structure and hydration of the skin. Images of these structures and important characteristic values can then be generated for further analysis. Meta Tags Meta tags Terahertz, Medical Imaging, Skin, Imaging, Medical Physics, THz, Picobot 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 Joseph Hilton-Tapp Title A name given to the resource Terahertz Medical Imaging 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://www.youtube.com/channel/UCXvU_PWWl_9elPU7-2Gj_0Q Meta Tags Meta tags School of Life Sciences, STEM, Biology, Microbiology, Molecular Biology, Evolution, Sporulation, Bacteria, Cell differentiation 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 Completely And Utterly Spore-ing Description An account of the resource Podcast created as a public engagement output for the project 'Investigating Genes Responsible For Commitment To Sporulation In A Model Organism'. Creator An entity primarily responsible for making the resource Kit Lovesy 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/77e10c31eafe4d925d9d742fc0fb3a92.pdf 51a89dbf260e6c67c9cc1d8d3b13d021 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 Investigating Genes Responsible For Commitment To Sporulation In A Model Organism. Meta Tags Meta tags School of Life Sciences, STEM, Biology, Microbiology, Molecular Biology, Evolution, Gene Regulation, Cell Differentiation, Sporulation, Bacteria. 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 Kit Lovesy Contributor An entity responsible for making contributions to the resource Betty Fekade, Christopher Rodrigues Subject The topic of the resource Sporulation Title A name given to the resource Investigating Genes Responsible For Commitment To Sporulation In A Model Organism https://linen-dog.lnx.warwick.ac.uk/files/original/463278ee4775ba1bb19d31225e6d7657.pdf f6b7887288b05df3930f61018a8f0780 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 study applies 2D-CSA solid-state NMR to S. pombe cells to investigate cell wall components. Using high-resolution NMR and CSA analysis, distinct carbon sites in glucans were identified and peaks were assigned. The approach demonstrates the potential of 2D-CSA for probing structural details in complex biological systems. Meta Tags Meta tags 2D-CSA, solid-state NMR, chemical-shift anisotropy, S. pombe, Schizosaccharomyces pombe, cell wall structure, glucans, carbohydrate analysis, structural biology, high-resolution NMR, biomolecular spectroscopy 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 Iqrab Uddin Contributor An entity responsible for making contributions to the resource Ananya Singh, Wing Ying Chow Subject The topic of the resource Biophysics Title A name given to the resource Applying 2D-CSA toS. pombe cells Date A point or period of time associated with an event in the lifecycle of the resource 2025