53 10 851 https://urss.warwick.ac.uk/files/original/fcc35e02bbef189f136f9ce0aed1a6c9.pdf 7d1e6176dc8a79c9f11b7d107f77b21f 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 Optimising Optics for LHC's TORCH Detector Subject The topic of the resource Physics Creator An entity primarily responsible for making the resource Oscar Miller Date A point or period of time associated with an event in the lifecycle of the resource 2023 CERN LHCb Oscar Miller particle physics Physics torch https://urss.warwick.ac.uk/files/original/369afd4aa1fd8a148f009053eed3a4c6.pdf 838d693c2dab3220b564793b25570438 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 Meta Tags Meta tags Polymers, Polymer, Polymerisation, Antibodies, lateral flow tests, covid, covid 19, GPC 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 Ava Chapman Contributor An entity responsible for making contributions to the resource Dr Alex Baker, Douglas Soutar Subject The topic of the resource Life Sciences Title A name given to the resource Optimising polymer synthesis for detection in lateral flow test devices Date A point or period of time associated with an event in the lifecycle of the resource 2024 https://urss.warwick.ac.uk/files/original/83fac1bf8668f07a83b9082906652e2b.pdf fb27a9876965d81305486a873fd7dfc3 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 Optimized Data Collection Methodologies using Dedicated Electron Diffractometer Subject The topic of the resource Physics Creator An entity primarily responsible for making the resource Max Turner Date A point or period of time associated with an event in the lifecycle of the resource 2023 Electron Diffractometer Max Turner Physics solvent vapour pressure https://urss.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://urss.warwick.ac.uk/files/original/7564c7619534c16ec5497cab31011f1b.pdf e5146bb5195499e13ab476ab75aa0180 https://urss.warwick.ac.uk/files/original/1e045030d9e9830f2699e844c7b6feb9.pdf 3f012a86825b2c8127842f7124efa9a8 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 builds upon the work of Henderson and Hobson (2013), which demonstrated the counterintuitive result that risk-averse agents, seeking to maximise expected utility and possessing a timing option over when to sell an indivisible asset, may find it optimal to engage in risk increasing fair gambles. In this project, we extend the one-period binomial model into a two-period model and explore a novel disaster model where a potential financial crisis may occur - while illustrating that the result still holds in these expanded scenarios. Our analysis broadens the applicability of the original insights and provides a robust foundation for understanding optimal decision-making strategies in a wider range of financial contexts. 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 Options and Gambling Subject The topic of the resource Statistics Creator An entity primarily responsible for making the resource Alex O Date A point or period of time associated with an event in the lifecycle of the resource 2023 Alex O Decision Theory Dynamic Programming Gambling mathematical finance Statistics Utility Theory https://urss.warwick.ac.uk/files/original/42b1fc6948ac92ac72500fddf5cc2b83.pdf b0aa975152e77a24830a27861673479e 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 Overcoming antimicrobial resistance by targeting the peptidoglycan biosynthetic pathway Subject The topic of the resource Life Sciences Creator An entity primarily responsible for making the resource Mukta Divekar Date A point or period of time associated with an event in the lifecycle of the resource 2022 amino acids antimicrobial resistance infectious diseases peptidoglycan biosynthetic pathway https://urss.warwick.ac.uk/files/original/24dca5b256ba1e656bc0389eb76035a9.pdf b0aa975152e77a24830a27861673479e 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 Overcoming antimicrobial resistance by targeting the peptidoglycan biosynthetic pathway Subject The topic of the resource Life Sciences Creator An entity primarily responsible for making the resource Nisa Mohd Fareed Date A point or period of time associated with an event in the lifecycle of the resource 2022 amino acids antimicrobial resistance infectious diseases peptidoglycan biosynthetic pathway https://urss.warwick.ac.uk/files/original/d73fc66c3282494932eb61f642b3ef6e.pdf cdf7503154f1b9745c67b1500c12e486 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 Large Language Models (LLMs) achieve outstanding performance but are expensive to fine-tune due to their size. Parameter-efficient fine-tuning (PEFT) methods like Low-Rank Adaptation (LoRA) address this by updating only small low-rank matrices while keeping pretrained weights frozen. This project explores LoRA and its variants—QLoRA, AdaLoRA, and LoRA-One—through theoretical analysis and experiments on the GLUE benchmark using T5-base. Results show that LoRA achieves near full fine-tuning performance with under 1% of trainable parameters. The study highlights LoRA’s efficiency–expressiveness trade-off and contributes to developing more scalable, adaptive fine-tuning strategies for large models. Meta Tags Meta tags Artificial Intelligence, Machine Learning, Deep Learning, Large Language Models 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 Yikuan Li Contributor An entity responsible for making contributions to the resource Dr Fanghui Liu (Supervisor) Subject The topic of the resource Statistics Title A name given to the resource Parameter Efficient Fine-Tuning for Large Language Models: Theory and Applications Date A point or period of time associated with an event in the lifecycle of the resource 2025 https://urss.warwick.ac.uk/files/original/c1401a9f1922907aec19e1f462c993ac.pdf a2216442c98bbfe7a8708fc42b6dc8ad Academic Paper An academic paper Abstract The abstract of the paper A k-page book consists of a straight line, called the spine, and k half-planes, called pages, sharing the spine as their boundary. A k-page book drawing of a graph G places the vertices on the spine and draws each edge on a single page. The k-page crossing number is the minimum number of edge crossings over all possible k-page drawings. Finding a crossing-free book drawing with minimum number of pages(Book Thickness) and minimizing crossings for a fixed k (Book Drawing With Crossing Minimization) are both NP-hard. Recent works established fixed-parameter algorithms for Book Thickness parameterized by the vertex cover number and the vertex integrity, respectively [1, 2]. In this paper, we present the main ideas of these works and derive separate fixed-parameter algorithms for Book Drawing with Crossing Minimization w.r.t. the vertex cover number and the vertex integrity number. Meta Tags Meta tags Mathematics, Computer Science, Combinatorics, Embedding, Parameterised Algorithms, Book Thickness, Crossing, Minimization, Vertex Cover, Vertex Integrity 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 Parameterised Algorithms for Book Drawings with Crossing Minimization Subject The topic of the resource Mathematics Date A point or period of time associated with an event in the lifecycle of the resource October 2026 Contributor An entity responsible for making contributions to the resource Vladimir Brankovic https://urss.warwick.ac.uk/files/original/28cf3cc796ccf67a474238d31ac141e0.pdf efe921d2bb200326dbed9fb0b7325cb7 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 Parameterising Crystal Diffraction Subject The topic of the resource Physics Creator An entity primarily responsible for making the resource Milo Thomas Date A point or period of time associated with an event in the lifecycle of the resource 2023 Crystal Diffraction electron microscopy Material Science Milo Thomas Physics python