48 10 760 https://linen-dog.lnx.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://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/7564c7619534c16ec5497cab31011f1b.pdf e5146bb5195499e13ab476ab75aa0180 https://linen-dog.lnx.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://linen-dog.lnx.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://linen-dog.lnx.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://linen-dog.lnx.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://linen-dog.lnx.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 https://linen-dog.lnx.warwick.ac.uk/files/original/c31224b9ae444be2e51c7b76d67c6e9e.pdf 646a1450aedf4e0b595b26e5d3785ef4 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 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 Parental Educational Attainment and Children's Educational Ability: Ethiopia, India, Vietnam Subject The topic of the resource Philosophy Creator An entity primarily responsible for making the resource Cormac Flanagan Date A point or period of time associated with an event in the lifecycle of the resource 2022 attainment developing Education Ethiopia India secondary tertiary UNICEF Vietnam https://linen-dog.lnx.warwick.ac.uk/files/original/619055ede1e185e5b1cc416043aebf19.pdf 9bf1f5ed4fc349c7313158b34b4bba04 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 PCR diagnosis of Dichelobacter nodosus Subject The topic of the resource Life Sciences Creator An entity primarily responsible for making the resource Kathryn Knight Date A point or period of time associated with an event in the lifecycle of the resource 2022 DNA amplification footrot PCR diagnosis primers serotype 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